<p>Embark on a transformative journey into the realm of cutting-edge development with our course, '<strong>Master Spring Boot 3.0 and MongoDB.</strong>' Crafted with precision and innovation, this course is a gateway to mastering the intricate dance between Spring Boot and MongoDB, providing you with the skills to revolutionize your coding prowess. Immerse yourself in an engaging learning experience, where each section unfolds like a chapter in a captivating novel, unveiling the secrets of MongoDB, the nuances of Bootstrapping applications, and the artistry of integrating OpenAPI. It's more than a course; it's an odyssey into the heart of modern development, beckoning you to embrace a new era of programming possibilities.</p>
<p>In this dynamic learning adventure, traverse through the course curriculum like an explorer unraveling a map to success. From laying the groundwork in the introduction to conquering complex queries and MongoDB templates, you'll navigate the landscape of development with confidence. The course is not just about acquiring knowledge; it's about transforming that knowledge into practical expertise. Whether you're a novice eager to embark on a coding expedition or a seasoned developer seeking to enhance your skills, this course is your compass to navigate the vast territories of Spring Boot and MongoDB, promising a voyage filled with discovery and mastery.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Develop a profound understanding of MongoDB, from environmental preparation to advanced query methods.</li>
<li>Master the art of bootstrapping applications, gaining hands-on experience in crafting robust and efficient systems.</li>
<li>Uncover the intricacies of collections relationships and the use of DBRef, adding a layer of sophistication to your database interactions.</li>
<li>Seamlessly integrate OpenAPI into your projects, enhancing the accessibility and documentation of your applications.</li>
<li>Acquire expertise in document queries and MongoDB templates, empowering you to build scalable and efficient databases.</li>
</ul>
<h3><b>Why choose this Master Spring boot 3.0 and MongoDB<span> course</span>?</b></h3>
<ol>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b> and <b>CIQ </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
<li>Unlock career resources for CV improvement, interview readiness, and job success.</li>
</ol>
<h3><b>Who is this Master Spring boot 3.0 and MongoDB<span> </span></b><b><span>course </span></b><b>for?</b></h3>
<ul>
<li>Aspiring developers keen on mastering the Spring Boot-MongoDB synergy.</li>
<li>Software engineers looking to deepen their understanding of advanced database operations.</li>
<li>Students and coding enthusiasts eager to explore the latest tools in the development landscape.</li>
<li>Professionals seeking to upgrade their skill set in line with industry demands.</li>
<li>Entrepreneurs or tech enthusiasts aiming to build robust applications from the ground up.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>MongoDB Developer:</strong> £40,000 - £60,000</li>
<li><strong>Spring Boot Engineer:</strong> £45,000 - £70,000</li>
<li><strong>Database Architect:</strong> £55,000 - £80,000</li>
<li><strong>Full Stack Developer:</strong> £50,000 - £75,000</li>
<li><strong>Java Developer (Specializing in Spring Boot):</strong> £45,000 - £65,000</li>
<li><strong>API Integration Specialist:</strong> £50,000 - £70,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Master Spring boot 3.0 and MongoDB</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning. This </span><b>Master Spring boot 3.0 and MongoDB</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Section 01: Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Difference Between SQL and NoSQL</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to Choose Between SQL and NoSQL</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 02: Prepare The Mongo Environment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>MongoDB UI Tools</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Use Docker for Development</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create an Empty Docker Compose File</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mongo Server (Docker Compose)</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mongo Express (Docker Compose)</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Run and Test</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 03: Mongo Terms</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Collections and Documents in Mongo</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 04: Bootstrapping The Application</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a New Spring Boot 3.0 Project</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Structure</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Include the Docker Compose with the Project and Run It</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Architecture</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connect to MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a New Database</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Understand Admin - Local and Config Databases</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Java Class</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Transform the Java Class into a Collection</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Mongo Repository</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert the First Data into the Collection</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Product Service</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Save the product</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Find Product by ID</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Find All Products</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Delete Product</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 05: CRUD Operations</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Product Controller</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Save Product Operation</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Find All Products</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Find Product by ID</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Delete Product</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Test the CRUD Operations</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 06: DBRef And Collections Relationships</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Extend the Product Model</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Category Java Class</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>User Category as a Field</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relationship between Category and Product</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Transform the Category to a Collection</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Category Repository</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert Categories at Startup</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Issue in Linking Collections</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Relationship Between Collections</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 07: OpenApi Integration</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add OpenApi Dependency</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Test and Play with Swagger UI</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 08: Documents Queries And Mongo Template</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Extend the Product Model</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Search Service</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is MongoTemplate</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Is() Query</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Testing the Is() Query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Regex() Query</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Lt() Query</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gt() Query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sorting Data</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Paging and Sorting</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 09: Query Methods</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Query Method Service</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FindByX Query</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX Ignore Case Query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX starting with query</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX ending with query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX containing query</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX less than</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX greater than</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX between</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX and SortByY</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Paging and Sorting</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Trainers Course

MongoDB

Master Spring boot 3.0 and MongoDB

General Admission

SkillWise

Big Data Analytics with PySpark Power BI and MongoDB

<p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">✿ 17</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;in 1 "Data Engineering: Big Data &amp; Google Cloud Architect" CPD Certified Diploma ✿</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Are you interested in pursuing a career in data analysis? Do you want to gain the skills and knowledge necessary to excel in the field of data analytics? Look no further! 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With the proliferation of data in today&#39;s digital landscape, mastering these skills is crucial for anyone aiming to make a significant impact in the tech industry.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">The&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect&nbsp;</strong>diploma training provides a comprehensive curriculum that covers everything from the basics of data engineering to advanced topics in Google Cloud, Big Query, Data Structures, SQL/MySQL Database etc. Through engaging modules, you&#39;ll gain insight into the intricacies of data processing, storage solutions, and cloud infrastructure.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">By completing this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect&nbsp;</strong>training, you&#39;ll be equipped with the knowledge needed to architect robust data solutions using Google Cloud. You&#39;ll understand the principles behind big data management and how to apply them in real-world contexts. Whether you&#39;re looking to enhance your career prospects or pivot into a new field, this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;bundle offers the tools and understanding required to succeed in the ever-evolving data engineering landscape.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Bundle Consists the Following Courses:</strong></p><ol style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Data Engineering: Google Big Query &amp; Google Cloud</li><li fr-original-style="" style="box-sizing: border-box;">Mastering MySQL Database Development</li><li fr-original-style="" style="box-sizing: border-box;">Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;">Data Structures : Easy to Advanced</li><li fr-original-style="" style="box-sizing: border-box;">JavaScript for Data Structures</li><li fr-original-style="" style="box-sizing: border-box;">SQL Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Python Data Science - For Beginners</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning in Flutter: Complete Guide</li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with R Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Python: Higher Order Functions</li><li fr-original-style="" style="box-sizing: border-box;">Linux File System</li><li fr-original-style="" style="box-sizing: border-box;">LabVIEW &ndash; Step By Step Beginners Guide</li><li fr-original-style="" style="box-sizing: border-box;">SQL NoSQL Big Data and Hadoop All in One Course</li><li fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Training</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysis: Getting Results with PowerBI</li></ol><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Data Engineering: Big Data &amp; Google Cloud Architect Diploma</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals of data engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in Google Cloud Platform services.</li><li fr-original-style="" style="box-sizing: border-box;">Master techniques for big data processing.</li><li fr-original-style="" style="box-sizing: border-box;">Learn to design scalable data architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Implement effective data storage solutions.</li><li fr-original-style="" style="box-sizing: border-box;">Analyse and optimise data workflows.</li><li fr-original-style="" style="box-sizing: border-box;">Develop skills in managing cloud-based data systems.</li><li fr-original-style="" style="box-sizing: border-box;">Comprehend security measures for data protection.</li><li fr-original-style="" style="box-sizing: border-box;">Explore methods for data integration and migration.</li><li fr-original-style="" style="box-sizing: border-box;">Apply knowledge to design and implement data solutions.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong> per copy.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong> for <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong> per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong> for international students as delivery charge.</p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;diploma training is open to everyone. Specially designed for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring data engineers.</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking to specialise in data engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals interested in big data technologies.</li><li fr-original-style="" style="box-sizing: border-box;">Those aiming to understand Google Cloud architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Career changers looking to enter the tech industry.</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Take your time to finish this Data Science Engineering: Data Analytics &amp; Database Management training, there is no deadline for the bundle.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;training can lead you towards successful careers in these related fields. Such as:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Engineer: &pound;40,000 - &pound;70,000</li><li fr-original-style="" style="box-sizing: border-box;">Cloud Solutions Architect: &pound;50,000 - &pound;90,000</li><li fr-original-style="" style="box-sizing: border-box;">Big Data Analyst: &pound;35,000 - &pound;60,000</li><li fr-original-style="" style="box-sizing: border-box;">Data Architect: &pound;60,000 - &pound;100,000</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Developer: &pound;40,000 - &pound;75,000</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Engineer: &pound;50,000 - &pound;85,000</li></ul></section></div>

Skill Up

Data Engineering

Big Data Analytics

Google Cloud

CPD Certified | 17-in-1 Diploma Bundle | 170 CPD Points | Free PDF & Transcript Certificate | Lifetime Access


Data Engineering: Big Data & Google Cloud Architect Diploma - CPD Certified


Packt

Node.js

Angular

Programming

Explore offline-first app development with Angular, Ionic, PouchDB, and CouchDB. Sync data effortlessly, design for web and mobile, and deploy with ease for a seamless user experience. Learn data synchronization, advanced features such as RxJS and custom pipes, implement state machines with XState, and build scalable, multi-platform web apps.

Offline-First Apps with Angular, Ionic, PouchDB and CouchDB

Cloud Computing

This course covers all the key concepts that will help you prepare for and pass the AWS Certified Cloud Practitioner certification exam for the latest CLF-C01. A practical-based course where you will gain practical knowledge about AWS Cloud through videos and demo sessions.

AWS Cloud Practitioner Exam Prep Course 2021

<h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Overview</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">✿ 22-in-1 "Data Science Engineering: Data Analytics &amp; Database Management with MySQL" QLS Endorsed Diploma ✿</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UK</strong>,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>&nbsp;jobs are in high demand across sectors like finance, healthcare, and technology. Entry-level data scientists typically earn&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;25,000 to &pound;35,000</strong>&nbsp;annually, while experienced professionals can earn&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;60,000 to &pound;100,000</strong>&nbsp;or more. Roles often require skills in programming (Python, R), machine learning, and data visualization.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Step into the transformative world of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, where innovation meets data. This exclusive bundle, "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>," is specially designed for learners keen on mastering the art of data analysis and database management. By immersing yourself in the complexities of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, you will gain the ability to handle vast datasets, extract meaningful insights, and effectively manage databases using MySQL.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>&nbsp;is the backbone of modern decision-making processes, driving business strategies and technological advancements. Through this bundle, "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL"</strong>, you will explore key concepts and methodologies that form the foundation of Data Science. From understanding data structures to performing complex data analyses and managing databases, every module is crafted to provide a thorough understanding and knowledge of Data Science principles.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle focuses on&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, ensuring you are prepared to meet the growing demand for data-savvy professionals. Whether you&#39;re aiming to advance your career or pivot to a new field, this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL&nbsp;</strong>bundle offers a pathway to success in the dynamic world of Data Science.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Data Science Engineering: Data Analytics &amp; Database Management with MySQL Bundle Consists the Following Courses:</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><a href="https://www.skill-up.org/course/data-engineering-google-bigquery-google-cloud/" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Data Engineering : Google Big Query &amp; Google Cloud</a></li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with Python<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;[at QLS Level 7]</strong></li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with R Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning in Flutter: Complete Guide</li><li fr-original-style="" style="box-sizing: border-box;">Python Data Science - For Beginners</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Basics<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;[at QLS Level 7]</strong></li><li fr-original-style="" style="box-sizing: border-box;">Python: Higher Order Functions</li><li fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Training</li><li fr-original-style="" style="box-sizing: border-box;">PowerBI Formulas</li><li fr-original-style="" style="box-sizing: border-box;">Getting Results with Power BI</li><li fr-original-style="" style="box-sizing: border-box;">Mastering MySQL Database Development</li><li fr-original-style="" style="box-sizing: border-box;">SQL Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;">Data Structures : Easy to Advanced</li><li fr-original-style="" style="box-sizing: border-box;">Java script for Data Structures</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">The Complete Python Course: Beginner to Advanced!</li><li fr-original-style="" style="box-sizing: border-box;">Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li fr-original-style="" style="box-sizing: border-box;">Linux File System</li><li fr-original-style="" style="box-sizing: border-box;">LabVIEW - Step By Step Beginners Guide</li><li fr-original-style="" style="box-sizing: border-box;">SQL NoSQL Big Data and Hadoop All in One Course</li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Data Science Engineering: Data Analytics &amp; Database Management Bundle</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Develop a deep understanding of fundamental Data Science &amp; Big Query concepts.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in data analysis techniques using MySQL Database.</li><li fr-original-style="" style="box-sizing: border-box;">Learn to design and manage efficient databases.</li><li fr-original-style="" style="box-sizing: border-box;">Apply statistical methods to interpret complex datasets.</li><li fr-original-style="" style="box-sizing: border-box;">Master data visualisation tools to present insights effectively.</li><li fr-original-style="" style="box-sizing: border-box;">Understand the role of Data Science in business and technology sectors.</li><li fr-original-style="" style="box-sizing: border-box;">Build a solid foundation for advanced Data Science studies.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong>&nbsp;per copy.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong>&nbsp;for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong>&nbsp;per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as delivery charge.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" id="isPasted"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Hardcopy Certificate</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Hard copy certificate - &pound;129</p><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For any&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed</strong>&nbsp;courses included in the bundle, the Level wise Certificate prices are - (Should be Purchased Separately)</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Level 1 - &pound;39</li><li fr-original-style="" style="box-sizing: border-box;">Level 2 - &pound;69</li><li fr-original-style="" style="box-sizing: border-box;">Level 3 - &pound;79</li><li fr-original-style="" style="box-sizing: border-box;">Level 4 - &pound;89</li><li fr-original-style="" style="box-sizing: border-box;">Level 5 - &pound;109</li><li fr-original-style="" style="box-sizing: border-box;">Level 6 - &pound;119</li><li fr-original-style="" style="box-sizing: border-box;">Level 7 - &pound;129</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">However, Certificate delivery is&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free&nbsp;</strong>for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UK&nbsp;</strong>residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as a delivery charge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Note: Skill-up is a Janets-approved resale partner for Quality Licence Scheme Endorsed courses.</strong></p><h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Description</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>" bundle is designed to provide a comprehensive introduction to Data Science. Focusing on data analysis and database management, this bundle covers key concepts, tools, and techniques essential for managing and analysing data. Learners will develop a strong foundation in Data Science, gaining skills that are in high demand across various industries. Additionally, students will learn to use MySQL to handle databases effectively, ensuring they can store, retrieve, and manipulate data efficiently. By the end of the bundle, participants will be well-equipped to tackle data-driven challenges and contribute significantly to their organisations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Here is the course curriculum for the primary Title Course in this bundle:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering : Google Big Query &amp; Google Cloud</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Introduction</li><li fr-original-style="" style="box-sizing: border-box;">Introducing Data Warehouse &amp; Big Query</li><li fr-original-style="" style="box-sizing: border-box;">First Exploration</li><li fr-original-style="" style="box-sizing: border-box;">Data Flow Basic</li><li fr-original-style="" style="box-sizing: border-box;">Diving into Big Query</li><li fr-original-style="" style="box-sizing: border-box;">Virtual Data using View</li><li fr-original-style="" style="box-sizing: border-box;">Data Visualization</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate Query<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">----------and 21 more Courses----------</strong></p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>&nbsp;bundle is open to everyone. Specially for-</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring Data Science Engineer, Scientists</li><li fr-original-style="" style="box-sizing: border-box;">Professionals transitioning to Data Science roles</li><li fr-original-style="" style="box-sizing: border-box;">Business analysts looking to enhance data analysis skills</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking to expand their expertise</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing a career in Data Science</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unlock diverse career opportunities with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management (MySQL)</strong>&nbsp;bundle. Explore these lucrative paths:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Scientist: &pound;45,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Database Administrator: &pound;37,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst: &pound;30,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst: &pound;35,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Marketing Analyst: &pound;28,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Research Analyst: &pound;27,000 per year</li></ul></section></div></div></div></div>

Data Science

Data Analysis

Database Management

Level-7 QLS Endorsed | 22-in-1 Diploma Bundle| Free CPD PDF+ Transcript Certificate| Lifetime Access| Learner Support


Data Science Engineering: Data Analytics & Database Management with MySQL - QLS Endorsed

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			<h4>Overview</h4>		</div>
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							<p><span>By enroling in Big Data Analytics with PySpark Power BI and MongoDB, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic.</span></p><p><span>The Big Data Analytics with PySpark Power BI and MongoDB course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Big Data Analytics with PySpark Power BI and MongoDB course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Big Data Analytics with PySpark Power BI and MongoDB Program.</span></p><p><span>So enrol in our Big Data Analytics with PySpark Power BI and MongoDB course right away if you're keen to envision yourself in a rewarding career.</span></p>						</div>
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							<p><span>Enroling in this Big Data Analytics with PySpark Power BI and MongoDB course can improve your Big Data Analytics with PySpark Power BI and MongoDB perspective, regardless of your skill levels in the Big Data Analytics with PySpark Power BI and MongoDB topics you want to master. If you're already a Big Data Analytics with PySpark Power BI and MongoDB expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Big Data Analytics with PySpark Power BI and MongoDB insights that will help you make the most of your time. This Big Data Analytics with PySpark Power BI and MongoDB course will act as a guide for you if you've ever wished to excel at Big Data Analytics with PySpark Power BI and MongoDB.</span></p>						</div>
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										<span>Study for the course using any internet-connected device, such as a computer, tablet, or mobile device.</span>
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							<p>Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99.</p>						</div>
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			<h4>Who Is This Course For?</h4>		</div>
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							<p><span>This Big Data Analytics with PySpark Power BI and MongoDB course is a great place to start if you're looking to start a new career in Big Data Analytics with PySpark Power BI and MongoDB field. This training is for anyone interested in gaining in-demand Big Data Analytics with PySpark Power BI and MongoDB proficiency to help launch a career or their business aptitude. </span></p>						</div>
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							<p><span>The Big Data Analytics with PySpark Power BI and MongoDB course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Big Data Analytics with PySpark Power BI and MongoDB, without any fuss.</span></p>						</div>
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							<p><span>This Big Data Analytics with PySpark Power BI and MongoDB training will assist you develop your Big Data Analytics with PySpark Power BI and MongoDB ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Big Data Analytics with PySpark Power BI and MongoDB professional story and personalise your path to a new career. Furthermore, developing this Big Data Analytics with PySpark Power BI and MongoDB skillset can lead to numerous opportunities for high-paying jobs in a variety of fields.</span></p>						</div>
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					<td colspan="4">Section 01: Introduction</td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td colspan="4">Section 02: Setup And Installations</td>
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					<td>Python Installation</td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td>Installing Apache Spark</td>
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					<td>Installing Java (Optional)</td>
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					<td><span><i></i> 00:05:00</span></td>
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					<td>Testing Apache Spark Installation</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td>Installing NoSQL Booster for MongoDB</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td colspan="4">Section 03: Data Processing With PySpark And MongoDB</td>
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					<td>Integrating PySpark with Jupyter Notebook</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td><span><i></i> 00:15:00</span></td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td colspan="4">Section 04: Machine Learning With PySpark And MLlib</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td><span><i></i> 00:12:00</span></td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td colspan="4">Section 05: Creating The Data Pipeline Scripts</td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td>Creating the PySpark ETL Script</td>
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					<td><span><i></i> 00:22:00</span></td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td><span><i></i> 00:00:00</span></td>
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NextGen Learning

Big Data Analytics with PySpark Power BI and MongoDB Course

<div id="course-pills-1">Duration<p>3.5 Days</p><p>21 CPD hours</p>This course is intended for<p>This course is for AWS Cloud Architects with expertise in designing and implementing solutions running on AWS who now want to design for Microsoft Azure.</p>Overview<p>After completing this course, students will be able to:<br />Secure identities with Azure Active Directory and users and groups.<br />Implement identity solutions spanning on-premises and cloud-based capabilities<br />Apply monitoring solutions for collecting, combining, and analyzing data from different sources.<br />Manage subscriptions, accounts, Azure policies, and Role-Based Access Control.<br />Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI.<br />Configure intersite connectivity solutions like VNet Peering, and virtual network gateways.<br />Administer Azure App Service, Azure Container Instances, and Kubernetes.</p><p>This course teaches Solutions Architects who have previously designed for Amazon Web Services how to translate business requirements into secure, scalable, and reliable solutions for Azure.</p></div><div id="course-pills-2"><h4>Introduction to Azure</h4><ul><li>Subscriptions and accounts</li><li>Resource groups and templates in Azure Resource Manager</li></ul><h4>Azure global infrastructure</h4><ul><li>Azure regions</li><li>Azure Availability Zones</li><li>Comparison with AWS</li></ul><h4>Implement Azure Active Directory</h4><ul><li>Introduction to Azure Active Directory</li><li>Domains and custom domains</li><li>Safety features</li><li>Guest users in Azure Active Directory</li><li>Manage multiple directories</li><li>Comparison with AWS</li></ul><h4>Implement and manage hybrid identities</h4><ul><li>Introduction to Azure AD Connect</li><li>Comparison with AWS</li></ul><h4>Implement virtual networking</h4><ul><li>Azure Virtual Network and VNet peering</li><li>VPN and ExpressRoute connections</li><li>Comparison with AWS</li></ul><h4>Implement VMs for Windows and Linux</h4><ul><li>Configure high availability</li><li>Comparison with AWS</li></ul><h4>Implement load balancing and network security</h4><ul><li>Implement Azure Load Balancer</li><li>Implement an Azure Application Gateway</li><li>Implement Azure Firewall</li><li>Implement network security groups and application security groups</li><li>Comparison with AWS</li></ul><h4>Implement container-based applications</h4><ul><li>Configure Azure Kubernetes Service</li><li>Publish a solution on an Azure Container Instance</li><li>Comparison with AWS</li></ul><h4>Implement an application infrastructure</h4><ul><li>Create an App Service plan</li><li>Create and configure Azure App Service</li><li>Configure networking for an App Service</li><li>Introduction to Logic Apps and Azure Functions</li><li>Comparison with AWS</li></ul><h4>Implement storage accounts</h4><ul><li>Azure Storage core concepts</li><li>Managing the Azure Blob storage lifecycle</li><li>Working with Azure Blob storage</li><li>Comparison with AWS</li></ul><h4>Implement NoSQL databases</h4><ul><li>Introduction to Azure Cosmos DB</li><li>Consistency</li><li>Select appropriate CosmosDB APIs</li><li>Set up replicas in CosmosDB</li><li>Comparison with AWS DynamoDB</li></ul><h4>Implement Azure SQL databases</h4><ul><li>Configure Azure SQL database settings</li><li>Implement Azure SQL Database managed instances</li><li>Configure high availability for an Azure SQL database</li><li>Comparison with AWS</li></ul><h4>Implement cloud infrastructure monitoring</h4><ul><li>Monitor security</li><li>Monitor cost</li><li>Configure a Log Analytics workspace</li><li>Comparison with AWS</li></ul><h4>Implement and manage Azure governance solutions</h4><ul><li>Assign RBAC roles</li><li>Configure management access to Azure</li><li>Implement and configure an Azure Policy</li><li>Comparison with AWS</li></ul><h4>Manage security for applications</h4><ul><li>Implement Azure Key Vault</li><li>Implement and configure Azure AD Managed Identities</li><li>Register and manage applications in Azure AD</li><li>Comparison with AWS</li></ul><h4>Migration, backup, and disaster recovery management</h4><ul><li>Migrate workloads</li><li>Implement Azure Backup for VMs</li><li>Implement disaster recovery</li><li>Comparison with AWS</li></ul></div>

Nexus Human

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AWS Certified Solutions Architect

AZ-030T00-A: Microsoft Azure technologies for AWS architects

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p>This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes.</p>Overview<p>Secure identities with Azure Active Directory and users and groups.<br />Implement identity solutions spanning on-premises and cloud-based capabilities<br />Apply monitoring solutions for collecting, combining, and analyzing data from different sources.<br />Manage subscriptions, accounts, Azure policies, and Role-Based Access Control.<br />Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI.<br />Configure intersite connectivity solutions like VNet Peering, and virtual network gateways.<br />Administer Azure App Service, Azure Container Instances, and Kubernetes.</p><p>This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each theses area affects an overall solution.</p></div><div id="course-pills-2"><h4>Implement Azure Active Directory</h4><ul><li>Overview of Azure Active Directory</li><li>Users and Groups</li><li>Domains and Custom Domains</li><li>Azure AD Identity Protection</li><li>Implement Conditional Access</li><li>Configure Fraud Alerts for MFA</li><li>Implement Bypass Options</li><li>Configure Guest Users in Azure AD</li><li>Configure Trusted IPs</li><li>Manage Multiple Directories</li></ul><h4>Implement and Manage Hybrid Identities</h4><ul><li>Install and Configure Azure AD Connect</li><li>Configure Password Sync and Password Writeback</li><li>Configure Azure AD Connect Health</li></ul><h4>Implement Virtual Networking</h4><ul><li>Virtual Network Peering</li><li>Implement VNet Peering</li></ul><h4>Implement VMs for Windows and Linux</h4><ul><li>Select Virtual Machine Size</li><li>Configure High Availability</li><li>Implement Azure Dedicated Hosts</li><li>Deploy and Configure Scale Sets</li><li>Configure Azure Disk Encryption</li></ul><h4>Implement Load Balancing and Network Security</h4><ul><li>Implement Azure Load Balancer</li><li>Implement an Application Gateway</li><li>Understand Web Application Firewall</li><li>Implement Azure Firewall</li><li>Implement Azure Front Door</li><li>Implementing Azure Traffic Manager</li></ul><h4>Implement Storage Accounts</h4><ul><li>Storage Accounts</li><li>Blob Storage</li><li>Storage Security</li><li>Managing Storage</li><li>Accessing Blobs and Queues using AAD</li></ul><h4>Implement NoSQL Databases</h4><ul><li>Configure Storage Account Tables</li><li>Select Appropriate CosmosDB APIs</li></ul><h4>Implement Azure SQL Databases</h4><ul><li>Configure Azure SQL Database Settings</li><li>Implement Azure SQL Database Managed Instances</li><li>High-Availability and Azure SQL Database</li><li>In this module, you will learn how to</li><li>Create an Azure SQL Database (single database)</li><li>Create an Azure SQL Database Managed Instance</li><li>Recommend high-availability architectural models used in Azure SQL Database</li></ul><h4>Automate Deployment and Configuration of Resources</h4><ul><li>Azure Resource Manager Templates</li><li>Save a Template for a VM</li><li>Evaluate Location of New Resources</li><li>Configure a Virtual Hard Disk Template</li><li>Deploy from a template</li><li>Create and Execute an Automation Runbook</li></ul><h4>Implement and Manage Azure Governance</h4><ul><li>Create Management Groups, Subscriptions, and Resource Groups</li><li>Overview of Role-Based Access Control (RBAC)</li><li>Role-Based Access Control (RBAC) Roles</li><li>Azure AD Access Reviews</li><li>Implement and Configure an Azure Policy</li><li>Azure Blueprints</li></ul><h4>Manage Security for Applications</h4><ul><li>Azure Key Vault</li><li>Azure Managed Identity</li></ul><h4>Manage Workloads in Azure</h4><ul><li>Migrate Workloads using Azure Migrate</li><li>VMware - Agentless Migration</li><li>VMware - Agent-Based Migration</li><li>Implement Azure Backup</li><li>Azure to Azure Site Recovery</li><li>Implement Azure Update Management</li></ul><h4>Implement Container-Based Applications</h4><ul><li>Azure Container Instances</li><li>Configure Azure Kubernetes Service</li></ul><h4>Implement an Application Infrastructure</h4><ul><li>Create and Configure Azure App Service</li><li>Create an App Service Web App for Containers</li><li>Create and Configure an App Service Plan</li><li>Configure Networking for an App Service</li><li>Create and Manage Deployment Slots</li><li>Implement Logic Apps</li><li>Implement Azure Functions</li></ul><h4>Implement Cloud Infrastructure Monitoring</h4><ul><li>Azure Infrastructure Security Monitoring</li><li>Azure Monitor</li><li>Azure Workbooks</li><li>Azure Alerts</li><li>Log Analytics</li><li>Network Watcher</li><li>Azure Service Health</li><li>Monitor Azure Costs</li><li>Azure Application Insights</li><li>Unified Monitoring in Azure</li></ul></div>

AZ-303T00 - Microsoft Azure Architect Technologies

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers.<br />Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.</p>Overview<p>Apply a tool set of questions, techniques and design considerations<br />Define application requirements and express them objectively as KPIs, SLO's and SLI's<br />Decompose application requirements to find the right microservice boundaries<br />Leverage Google Cloud developer tools to set up modern, automated deployment pipelines<br />Choose the appropriate Google Cloud Storage services based on application requirements<br />Architect cloud and hybrid networks<br />Implement reliable, scalable, resilient applications balancing key performance metrics with cost<br />Choose the right Google Cloud deployment services for your applications<br />Secure cloud applications, data and infrastructure<br />Monitor service level objectives and costs using Stackdriver tools</p><p>This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course.</p></div><div id="course-pills-2"><h4>Defining the Service</h4><ul><li>Describe users in terms of roles and personas.</li><li>Write qualitative requirements with user stories.</li><li>Write quantitative requirements using key performance indicators (KPIs).</li><li>Evaluate KPIs using SLOs and SLIs.</li><li>Determine the quality of application requirements using SMART criteria.</li></ul><h4>Microservice Design and Architecture</h4><ul><li>Decompose monolithic applications into microservices.</li><li>Recognize appropriate microservice boundaries.</li><li>Architect stateful and stateless services to optimize scalability and reliability.</li><li>Implement services using 12-factor best practices.</li><li>Build loosely coupled services by implementing a well-designed REST architecture.</li><li>Design consistent, standard RESTful service APIs.</li></ul><h4>DevOps Automation</h4><ul><li>Automate service deployment using CI/CD pipelines.</li><li>Leverage Cloud Source Repositories for source and version control.</li><li>Automate builds with Cloud Build and build triggers.</li><li>Manage container images with Google Container Registry.</li><li>Create infrastructure with code using Deployment Manager and Terraform.</li></ul><h4>Choosing Storage Solutions</h4><ul><li>Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost.</li><li>Store binary data with Cloud Storage.</li><li>Store relational data using Cloud SQL and Spanner.</li><li>Store NoSQL data using Firestore and Cloud Bigtable.</li><li>Cache data for fast access using Memorystore.</li><li>Build a data warehouse using BigQuery.</li></ul><h4>Google Cloud and Hybrid Network Architecture</h4><ul><li>Design VPC networks to optimize for cost, security, and performance.</li><li>Configure global and regional load balancers to provide access to services.</li><li>Leverage Cloud CDN to provide lower latency and decrease network egress.</li><li>Evaluate network architecture using the Cloud Network Intelligence Center.</li><li>Connect networks using peering and VPNs.</li><li>Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect.</li></ul><h4>Deploying Applications to Google Cloud</h4><ul><li>Choose the appropriate Google Cloud deployment service for your applications.</li><li>Configure scalable, resilient infrastructure using Instance Templates and Groups.</li><li>Orchestrate microservice deployments using Kubernetes and GKE.</li><li>Leverage App Engine for a completely automated platform as a service (PaaS).</li><li>Create serverless applications using Cloud Functions.</li></ul><h4>Designing Reliable Systems</h4><ul><li>Design services to meet requirements for availability, durability, and scalability.</li><li>Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures.</li><li>Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns.</li><li>Design resilient data storage with lazy deletion.</li><li>Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis.</li></ul><h4>Security</h4><ul><li>Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits.</li><li>Leverage Cloud Security Command Center to help identify vulnerabilities.</li><li>Simplify cloud governance using organizational policies and folders.</li><li>Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform.</li><li>Manage the access and authorization of resources by machines and processes using service accounts.</li><li>Secure networks with private IPs, firewalls, and Private Google Access.</li><li>Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor.</li></ul><h4>Maintenance and Monitoring</h4><ul><li>Manage new service versions using rolling updates, blue/green deployments, and canary releases.</li><li>Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data.</li><li>Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards.</li><li>Use Uptime Checks to determine service availability.</li><li>Respond to service outages using Cloud Monitoring Alerts.</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Architecting with Google Cloud: Design and Process training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Architecting with Google Cloud: Design and Process course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Service Design Courses (SDC)

AWS Certified Developer

Cloud Architecture

AWS Certified Cloud Practitioner

Architecting with Google Cloud: Design and Process

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p></p><p>Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.</p><p></p><p></p><p>This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.</p><p></p>Prerequisites<p>To be successful in this course, learners should have the following: Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal. Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java) Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar) Experience writing code to handle authentication, authorization, and other security principles at the intermediate level. A general understanding of HTML, the HTTP protocol and REST API interfaces.</p></div><div id="course-pills-2"><h3>1 - Explore Azure App Service</h3> <ul> <li>Examine Azure App Service</li> <li>Examine Azure App Service plans</li> <li>Deploy to App Service</li> <li>Explore authentication and authorization in App Service</li> <li>Discover App Service networking features</li> </ul> <h3>2 - Configure web app settings</h3> <ul> <li>Configure application settings</li> <li>Configure general settings</li> <li>Configure path mappings</li> <li>Enable diagnostic logging</li> <li>Configure security certificates</li> </ul> <h3>3 - Scale apps in Azure App Service</h3> <ul> <li>Examine autoscale factors</li> <li>Identify autoscale factors</li> <li>Enable autoscale in App Service</li> <li>Explore autoscale best practices</li> </ul> <h3>4 - Explore Azure App Service deployment slots</h3> <ul> <li>Explore staging environments</li> <li>Examine slot swapping</li> <li>Swap deployment slots</li> <li>Route traffic in App Service</li> </ul> <h3>5 - Explore Azure Functions</h3> <ul> <li>Discover Azure Functions</li> <li>Compare Azure Functions hosting options</li> <li>Scale Azure Functions</li> </ul> <h3>6 - Develop Azure Functions</h3> <ul> <li>Explore Azure Functions development</li> <li>Create triggers and bindings</li> <li>Connect functions to Azure services</li> </ul> <h3>7 - Explore Azure Blob storage</h3> <ul> <li>Explore Azure Blob storage</li> <li>Discover Azure Blob storage resource types</li> <li>Explore Azure Storage security features</li> <li>Discover static website hosting in Azure Storage</li> </ul> <h3>8 - Manage the Azure Blob storage lifecycle</h3> <ul> <li>Explore the Azure Blob storage lifecycle</li> <li>Discover Blob storage lifecycle policies</li> <li>Implement Blob storage lifecycle policies</li> <li>Rehydrate blob data from the archive tier</li> </ul> <h3>9 - Work with Azure Blob storage</h3> <ul> <li>Explore Azure Blob storage client library</li> <li>Create a client object</li> <li>Manage container properties and metadata by using .NET</li> <li>Set and retrieve properties and metadata for blob resources by using REST</li> </ul> <h3>10 - Explore Azure Cosmos DB</h3> <ul> <li>Identify key benefits of Azure Cosmos DB</li> <li>Explore the resource hierarchy</li> <li>Explore consistency levels</li> <li>Choose the right consistency level</li> <li>Explore supported APIs</li> <li>Discover request units</li> </ul> <h3>11 - Work with Azure Cosmos DB</h3> <ul> <li>Explore Microsoft .NET SDK v3 for Azure Cosmos DB</li> <li>Create stored procedures</li> <li>Create triggers and user-defined functions</li> <li>Explore change feed in Azure Cosmos DB</li> </ul> <h3>12 - Manage container images in Azure Container Registry</h3> <ul> <li>Discover the Azure Container Registry</li> <li>Explore storage capabilities</li> <li>Build and manage containers with tasks</li> <li>Explore elements of a Dockerfile</li> </ul> <h3>13 - Run container images in Azure Container Instances</h3> <ul> <li>Explore Azure Container Instances</li> <li>Run containerized tasks with restart policies</li> <li>Set environment variables in container instances</li> <li>Mount an Azure file share in Azure Container Instances</li> </ul> <h3>14 - Implement Azure Container Apps</h3> <ul> <li>Explore Azure Container Apps</li> <li>Explore containers in Azure Container Apps</li> <li>Implement authentication and authorization in Azure Container Apps</li> <li>Manage revisions and secrets in Azure Container Apps</li> <li>Explore Dapr integration with Azure Container Apps</li> </ul> <h3>15 - Explore the Microsoft identity platform</h3> <ul> <li>Explore the Microsoft identity platform</li> <li>Explore service principals</li> <li>Discover permissions and consent</li> <li>Discover conditional access</li> </ul> <h3>16 - Implement authentication by using the Microsoft Authentication Library</h3> <ul> <li>Explore the Microsoft Authentication Library</li> <li>Initialize client applications</li> </ul> <h3>17 - Implement shared access signatures</h3> <ul> <li>Discover shared access signatures</li> <li>Choose when to use shared access signatures</li> <li>Explore stored access policies</li> </ul> <h3>18 - Explore Microsoft Graph</h3> <ul> <li>Discover Microsoft Graph</li> <li>Query Microsoft Graph by using REST</li> <li>Query Microsoft Graph by using SDKs</li> <li>Apply best practices to Microsoft Graph</li> </ul> <h3>19 - Implement Azure Key Vault</h3> <ul> <li>Explore Azure Key Vault</li> <li>Discover Azure Key Vault best practices</li> <li>Authenticate to Azure Key Vault</li> </ul> <h3>20 - Implement managed identities</h3> <ul> <li>Explore managed identities</li> <li>Discover the managed identities authentication flow</li> <li>Configure managed identities</li> <li>Acquire an access token</li> </ul> <h3>21 - Implement Azure App Configuration</h3> <ul> <li>Explore the Azure App Configuration service</li> <li>Create paired keys and values</li> <li>Manage application features</li> <li>Secure app configuration data</li> </ul> <h3>22 - Explore API Management</h3> <ul> <li>Discover the API Management service</li> <li>Explore API gateways</li> <li>Explore API Management policies</li> <li>Create advanced policies</li> <li>Secure APIs by using subscriptions</li> <li>Secure APIs by using certificates</li> </ul> <h3>23 - Explore Azure Event Grid</h3> <ul> <li>Explore Azure Event Grid</li> <li>Discover event schemas</li> <li>Explore event delivery durability</li> <li>Control access to events</li> <li>Receive events by using webhooks</li> <li>Filter events</li> </ul> <h3>24 - Explore Azure Event Hubs</h3> <ul> <li>Discover Azure Event Hubs</li> <li>Explore Event Hubs Capture</li> <li>Scale your processing application</li> <li>Control access to events</li> <li>Perform common operations with the Event Hubs client library</li> </ul> <h3>25 - Discover Azure message queues</h3> <ul> <li>Choose a message queue solution</li> <li>Explore Azure Service Bus</li> <li>Discover Service Bus queues, topics, and subscriptions</li> <li>Explore Service Bus message payloads and serialization</li> <li>Explore Azure Queue Storage</li> <li>Create and manage Azure Queue Storage and messages by using .NET</li> </ul> <h3>26 - Monitor app performance</h3> <ul> <li>Explore Application Insights</li> <li>Discover log-based metrics</li> <li>Instrument an app for monitoring</li> <li>Select an availability test</li> <li>Troubleshoot app performance by using Application Map</li> </ul> <h3>27 - Develop for Azure Cache for Redis</h3> <ul> <li>Explore Azure Cache for Redis</li> <li>Configure Azure Cache for Redis</li> <li>Interact with Azure Cache for Redis by using .NET</li> </ul> <h3>28 - Develop for storage on CDNs</h3> <ul> <li>Explore Azure Content Delivery Networks</li> <li>Control cache behavior on Azure Content Delivery Networks</li> <li>Interact with Azure Content Delivery Networks by using .NET</li> </ul></div>

AZ-204T00 Developing Solutions for Microsoft Azure

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p></p><p>The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.</p><p></p><p></p><p>This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.</p><p></p>Prerequisites<p></p><li>Understanding core data concepts.</li>  <li>Knowledge of working with relational data in the cloud.</li>  <li>Knowledge of working with non-relational data in the cloud.</li>   <li>Knowledge of data analysis and visualization concepts.</li>   <li>DP-900T00 Microsoft Azure Data Fundamentals is recommended<p></p></li></div><div id="course-pills-2"><h3>1 - Discover data analysis</h3> <ul> <li>Overview of data analysis</li> <li>Roles in data</li> <li>Tasks of a data analyst</li> </ul> <h3>2 - Get started building with Power BI</h3> <ul> <li>Use Power BI</li> <li>Building blocks of Power BI</li> <li>Tour and use the Power BI service</li> </ul> <h3>3 - Get data in Power BI</h3> <ul> <li>Get data from files</li> <li>Get data from relational data sources</li> <li>Create dynamic reports with parameters</li> <li>Get data from a NoSQL database</li> <li>Get data from online services</li> <li>Select a storage mode</li> <li>Get data from Azure Analysis Services</li> <li>Fix performance issues</li> <li>Resolve data import errors</li> </ul> <h3>4 - Clean, transform, and load data in Power BI</h3> <ul> <li>Shape the initial data</li> <li>Simplify the data structure</li> <li>Evaluate and change column data types</li> <li>Combine multiple tables into a single table</li> <li>Profile data in Power BI</li> <li>Use Advanced Editor to modify M code</li> </ul> <h3>5 - Design a semantic model in Power BI</h3> <ul> <li>Work with tables</li> <li>Create a date table</li> <li>Work with dimensions</li> <li>Define data granularity</li> <li>Work with relationships and cardinality</li> <li>Resolve modeling challenges</li> </ul> <h3>6 - Add measures to Power BI Desktop models</h3> <ul> <li>Create simple measures</li> <li>Create compound measures</li> <li>Create quick measures</li> <li>Compare calculated columns with measures</li> </ul> <h3>7 - Add calculated tables and columns to Power BI Desktop models</h3> <ul> <li>Create calculated columns</li> <li>Learn about row context</li> <li>Choose a technique to add a column</li> </ul> <h3>8 - Use DAX time intelligence functions in Power BI Desktop models</h3> <ul> <li>Use DAX time intelligence functions</li> <li>Additional time intelligence calculations</li> </ul> <h3>9 - Optimize a model for performance in Power BI</h3> <ul> <li>Review performance of measures, relationships, and visuals</li> <li>Use variables to improve performance and troubleshooting</li> <li>Reduce cardinality</li> <li>Optimize DirectQuery models with table level storage</li> <li>Create and manage aggregations</li> </ul> <h3>10 - Design Power BI reports</h3> <ul> <li>Design the analytical report layout</li> <li>Design visually appealing reports</li> <li>Report objects</li> <li>Select report visuals</li> <li>Select report visuals to suit the report layout</li> <li>Format and configure visualizations</li> <li>Work with key performance indicators</li> </ul> <h3>11 - Configure Power BI report filters</h3> <ul> <li>Apply filters to the report structure</li> <li>Apply filters with slicers</li> <li>Design reports with advanced filtering techniques</li> <li>Consumption-time filtering</li> <li>Select report filter techniques</li> <li>Case study - Configure report filters based on feedback</li> </ul> <h3>12 - Enhance Power BI report designs for the user experience</h3> <ul> <li>Design reports to show details</li> <li>Design reports to highlight values</li> <li>Design reports that behave like apps</li> <li>Work with bookmarks</li> <li>Design reports for navigation</li> <li>Work with visual headers</li> <li>Design reports with built-in assistance</li> <li>Tune report performance</li> <li>Optimize reports for mobile use</li> </ul> <h3>13 - Perform analytics in Power BI</h3> <ul> <li>Explore statistical summary</li> <li>Identify outliers with Power BI visuals</li> <li>Group and bin data for analysis</li> <li>Apply clustering techniques</li> <li>Conduct time series analysis</li> <li>Use the Analyze feature</li> <li>Create what-if parameters</li> <li>Use specialized visuals</li> </ul> <h3>14 - Create and manage workspaces in Power BI</h3> <ul> <li>Distribute a report or dashboard</li> <li>Monitor usage and performance</li> <li>Recommend a development life cycle strategy</li> <li>Troubleshoot data by viewing its lineage</li> <li>Configure data protection</li> </ul> <h3>15 - Manage semantic models in Power BI</h3> <ul> <li>Use a Power BI gateway to connect to on-premises data sources</li> <li>Configure a semantic model scheduled refresh</li> <li>Configure incremental refresh settings</li> <li>Manage and promote semantic models</li> <li>Troubleshoot service connectivity</li> <li>Boost performance with query caching (Premium)</li> </ul> <h3>16 - Create dashboards in Power BI</h3> <ul> <li>Configure data alerts</li> <li>Explore data by asking questions</li> <li>Review Quick insights</li> <li>Add a dashboard theme</li> <li>Pin a live report page to a dashboard</li> <li>Configure a real-time dashboard</li> <li>Set mobile view</li> </ul> <h3>17 - Implement row-level security</h3> <ul> <li>Configure row-level security with the static method</li> <li>Configure row-level security with the dynamic method</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans PL-300T00: Microsoft Power BI Data Analyst training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the PL-300T00: Microsoft Power BI Data Analyst course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Powerbi

Business Analytics & Intelligence

Microsoft Power BI

Microsoft Power Platform

Microsoft BI

Data Analyst

PL-300T00 Microsoft Power BI Data Analyst

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					<div><p><span>The<strong> SQL, NoSQL, Big Data and Hadoop Level 4</strong> course is designed to provide aspiring data engineers with the skills to fast track their career. It will introduce you to key database and data engineering concepts, taking you through the different classifications of databases and software. You will learn how to build a data-driven organisation step-by-step, best practices for data analysis, how to use Elasticsearch as a search engine, and much more.</span></p><p><span>This course is open to everyone and can be studied on a part-time or full-time basis. It is ideal for anyone looking to work in this field or gain a better understanding of Hadoop from a database perspective. Fast track your career by enrolling today and learn tips and shortcuts from experienced industry professionals.</span></p></div>
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					<div><p>This best selling <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> SQL, NoSQL, Big Data and Hadoop Level 4</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

SQL, NoSQL, Big Data and Hadoop Level 4

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					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Sql Nosql Big Data and Hadoop All in One Course has been specially designed to help learners gain a good command of Sql Nosql Big Data and Hadoop All in One Course, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Sql Nosql Big Data and Hadoop All in One Course, you will gain both practical and theoretical understanding of Sql Nosql Big Data and Hadoop All in One Course that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</p></div>
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										<span>Study at your convenient time and from wherever you want</span>
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										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
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Learning & Development

Online Course Creation

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Sql Nosql Big Data and Hadoop All in One Course

<strong>Work with tables, partition, indexes, encryption, and database administration in the AWS Cloud with AWS DynamoDB</strong>
        <p>With a rise in the demand for database administrators, there is already a serious shortage of hirable talent. Simply put, there's a massive opportunity for you to get equipped with the right skillset so that you can join talent-hungry large fintech companies or startups and be at the forefront of global innovation. You can even launch unique businesses or application development services for the next generation or enjoy plush paying cool projects powered by DynamoDB database. Whatever your choice may be, AWS DynamoDB will be your key to financial success and the growth of the community as a whole! 
Why AWS DynamoDB? 
Over the years, NoSQL databases have gained high popularity. DynamoDB is a trending NoSQL database that can be used for a variety of application workloads. Be it a web application, a backend application, or a mobile application, DynamoDB can offload all your administrative work, as it is completely managed by AWS. Most companies use DynamoDB to power their products at scale, and a huge number of AWS customers use it for mobile, web, gaming, ad tech, IoT, and many other applications that require a low-latency data access. Furthermore, big companies like Netflix, Expedia, Comcast, and Redfin use DynamoDB as their NoSQL database storage. Now you know why it's important to learn DynamoDB! 
What sets us apart? 
This AWS DynamoDB course does not assume any expertise in databases. We give you step-by-step instructions, handholding you through all the exercises, so you can follow along and understand exactly how DynamoDB and NoSQL databases come together. 
&bull;	Practical demo tutorials: Where most courses simply bombard you with dense theory and set you on your way, we believe in developing a deep understanding of not only what you're doing, but also why you're doing it. This course focuses on building your understanding of the inner working of DynamoDB. 
&bull;	Real-world knowledge: This course is designed to pass on our experience of working with real startups and projects, along with insights into the problems that engineers and architects face. Each module is comprised of in-depth demos and walkthroughs to help you develop the skills to build your own application powered by DynamoDB. Practice truly does make perfect. 
All the code and supporting files for this course are available at -https://github.com/PacktPublishing/Managed-NoSQL-Database-In-The-Cloud---Amazon-AWS-DynamoDB</p>
        <h2>What You Will Learn</h2><p>Learn DynamoDB concepts and their real-time uses <br>Create DynamoDB tables and indexes <br>Implement disaster recovery using global tables <br>Secure data using encryption at rest <br>Know how to use DynamoDB APIs in Python programming language</p>
        <h2>Audience</h2><p>This course is for AWS developers and admins who want to master DynamoDB or build apps with DynamoDB as backend. Architects looking to integrate DynamoDB and other AWS services will also find this course useful</p>
        <h2>Approach</h2><p>This course includes practical demo tutorials and takes you through the exercises in a step-by-step manner to help to understand the significance of each step and how DynamoDB and NoSQL databases come together.</p>
        <h2>Key Features</h2><p>Learn with the help of demo tutorials  * Become an expert in AWS DynamoDB with this step-by-step tutorial</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/managed-nosql-database-in-the-cloud---amazon-aws-dynamodb</p>
        <h2>About the Author</h2><h3>Manuj Aggarwal</h3><p>Manuj Aggarwal is an entrepreneur, investor, and technology enthusiast. Over the last few years, he has been a business owner, technical architect, CTO, coder, start up consultant, and more.

Currently, he is the principal consultant, architect, and CTO of a software consulting company, TetraNoodle Technologies, based in Vancouver, Canada. He works with various start-ups on a number of cutting edge and interesting problems. Whether it is ideation and the refining of your start up idea, or building a dream team to execute the idea, he provides a diverse set of solutions that help these start-ups to succeed in their plans.

He has been active in the software industry since 1997, and has worked with early-stage businesses through to Fortune 100 mega-corporations. He is passionate about sharing all the knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders, and co-founders of tech start-ups.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Introduction: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Overview</p><p style='margin: 0'>Introduction: Course Overview</p></td></tr><tr><td style='padding: 15px;'><p>3. What Are You Going To Learn</p><p style='margin: 0'>Introduction: What Are You Going To Learn</p></td></tr><tr><td style='padding: 15px;'><p>4. Unique Features</p><p style='margin: 0'>Introduction: Unique Features</p></td></tr><tr><td style='padding: 15px;'><p>5. Who Uses This</p><p style='margin: 0'>Introduction: Who Uses This</p></td></tr><tr><td style='padding: 15px;'><p>6. Download Resources</p><p style='margin: 0'>Introduction: Download Resources</p></td></tr><tr><td style='padding: 15px;'><p>7. Recap</p><p style='margin: 0'>Introduction: Recap</p></td></tr></tbody></table><br><h4>2. Environment Setup DynamoDB</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. DynamoDB Console Walkthrough And CLI Setup</p><p style='margin: 0'>Environment Setup DynamoDB: DynamoDB Console Walkthrough And CLI Setup</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python</p><p style='margin: 0'>Environment Setup DynamoDB: Installing Python</p></td></tr></tbody></table><br><h4>3. Creating Tables, Indexes and Partitions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating Tables</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Creating Tables</p></td></tr><tr><td style='padding: 15px;'><p>2. Insert Data using Python Script</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Insert Data using Python Script</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Representation in JSON</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Data Representation in JSON</p></td></tr><tr><td style='padding: 15px;'><p>4. Create GSI using AWS Console</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create GSI using AWS Console</p></td></tr><tr><td style='padding: 15px;'><p>5. Create LSI using AWS CLI</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create LSI using AWS CLI</p></td></tr><tr><td style='padding: 15px;'><p>6. Create GSI using AWS CLI</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create GSI using AWS CLI</p></td></tr></tbody></table><br><h4>4. Develop in DynamoDB using APIs</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Using Administrative APIs in DynamoDB</p><p style='margin: 0'>Develop in DynamoDB using APIs: Using Administrative APIs in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Program to use APIs</p><p style='margin: 0'>Develop in DynamoDB using APIs: Python Program to use APIs</p></td></tr><tr><td style='padding: 15px;'><p>3. DynamoDB Developer APIs Lab</p><p style='margin: 0'>Develop in DynamoDB using APIs: DynamoDB Developer APIs Lab</p></td></tr><tr><td style='padding: 15px;'><p>4. Use Project, Filter and Update Attributes in DynamoDB - 1</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 1</p></td></tr><tr><td style='padding: 15px;'><p>5. Use Project, Filter and Update Attributes in DynamoDB - 2</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 2</p></td></tr><tr><td style='padding: 15px;'><p>6. Use Project, Filter and Update Attributes in DynamoDB - 3</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 3</p></td></tr><tr><td style='padding: 15px;'><p>7. Scan A Table and Expire an Item</p><p style='margin: 0'>Develop in DynamoDB using APIs: Scan A Table and Expire an Item</p></td></tr></tbody></table><br><h4>5. Replication, Global Tables and Encryption</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Master-Slave & Master-Master Replications</p><p style='margin: 0'>Replication, Global Tables and Encryption: Master-Slave & Master-Master Replications</p></td></tr><tr><td style='padding: 15px;'><p>2. Create Global Tables in DynamoDB</p><p style='margin: 0'>Replication, Global Tables and Encryption: Create Global Tables in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>3. Encryption</p><p style='margin: 0'>Replication, Global Tables and Encryption: Encryption</p></td></tr></tbody></table><br><h4>6. Administration Resources in DynamoDB</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. DynamoDB Admin</p><p style='margin: 0'>Administration Resources in DynamoDB: DynamoDB Admin</p></td></tr><tr><td style='padding: 15px;'><p>2. Backup and Restore Tables in DynamoDB</p><p style='margin: 0'>Administration Resources in DynamoDB: Backup and Restore Tables in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>3. Reads from Application</p><p style='margin: 0'>Administration Resources in DynamoDB: Reads from Application</p></td></tr><tr><td style='padding: 15px;'><p>4. Capacity Units, Screening and Cloudwatch</p><p style='margin: 0'>Administration Resources in DynamoDB: Capacity Units, Screening and Cloudwatch</p></td></tr></tbody></table>

Work with tables, partition, indexes, encryption, and database administration in the AWS Cloud with AWS DynamoDB

Managed NoSQL Database In The Cloud - Amazon AWS DynamoDB

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			<h2>Overview
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					<p><span>This comprehensive course on </span><b><span>SQL NoSQL Big Data and Hadoop</span></b> will deepen your understanding on this topic.</p><p><span><span>After successful completion of this course you can acquire the required skills in this sector. This </span><b>SQL NoSQL Big Data and Hadoop</b> comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.</span></p><p><span><span>So enrol in this course today to fast track your career ladder.</span></span></p>					</div>
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					<p><span>At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price.</span></p>					</div>
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					<p><span>There is no experience or previous qualifications required for enrolment on this </span><b><span>SQL NoSQL Big Data and Hadoop</span></b>. It is available to all students, of all academic backgrounds.</p>					</div>
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					<p><span>Our </span><b><span>SQL NoSQL Big Data and Hadoop</span></b> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</p><p><span><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p>Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-</p><ul><li>Open doors of opportunities</li><li>Increase your adaptability</li><li>Keep you relevant</li><li>Boost confidence</li></ul><p>And much more!</p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>14 sections • 130 lectures • 22:34:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction: 00:07:00</p></div><div><div><p>•Building a Data-driven Organization - Introduction: 00:04:00</p></div><div><div><p>•Data Engineering: 00:06:00</p></div><div><div><p>•Learning Environment &amp; Course Material: 00:04:00</p></div><div><div><p>•Movielens Dataset: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Relational Databases: 00:09:00</p></div><div><div><p>•SQL: 00:05:00</p></div><div><div><p>•Movielens Relational Model: 00:15:00</p></div><div><div><p>•Movielens Relational Model: Normalization vs Denormalization: 00:16:00</p></div><div><div><p>•MySQL: 00:05:00</p></div><div><div><p>•Movielens in MySQL: Database import: 00:06:00</p></div><div><div><p>•OLTP in RDBMS: CRUD Applications: 00:17:00</p></div><div><div><p>•Indexes: 00:16:00</p></div><div><div><p>•Data Warehousing: 00:15:00</p></div><div><div><p>•Analytical Processing: 00:17:00</p></div><div><div><p>•Transaction Logs: 00:06:00</p></div><div><div><p>•Relational Databases  - Wrap Up: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Distributed Databases: 00:07:00</p></div><div><div><p>•CAP Theorem: 00:10:00</p></div><div><div><p>•BASE: 00:07:00</p></div><div><div><p>•Other Classifications: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to KV Stores: 00:02:00</p></div><div><div><p>•Redis: 00:04:00</p></div><div><div><p>•Install Redis: 00:07:00</p></div><div><div><p>•Time Complexity of Algorithm: 00:05:00</p></div><div><div><p>•Data Structures in Redis : Key &amp; String: 00:20:00</p></div><div><div><p>•Data Structures in Redis II : Hash &amp; List: 00:18:00</p></div><div><div><p>•Data structures in Redis III : Set &amp; Sorted Set: 00:21:00</p></div><div><div><p>•Data structures in Redis IV : Geo &amp; HyperLogLog: 00:11:00</p></div><div><div><p>•Data structures in Redis V : Pubsub &amp; Transaction: 00:08:00</p></div><div><div><p>•Modelling Movielens in Redis: 00:11:00</p></div><div><div><p>•Redis Example in Application: 00:29:00</p></div><div><div><p>•KV Stores: Wrap Up: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Document-Oriented Databases: 00:05:00</p></div><div><div><p>•MongoDB: 00:04:00</p></div><div><div><p>•MongoDB Installation: 00:02:00</p></div><div><div><p>•Movielens in MongoDB: 00:13:00</p></div><div><div><p>•Movielens in MongoDB: Normalization vs Denormalization: 00:11:00</p></div><div><div><p>•Movielens in MongoDB: Implementation: 00:10:00</p></div><div><div><p>•CRUD Operations in MongoDB: 00:13:00</p></div><div><div><p>•Indexes: 00:16:00</p></div><div><div><p>•MongoDB Aggregation Query - MapReduce function: 00:09:00</p></div><div><div><p>•MongoDB Aggregation Query - Aggregation Framework: 00:16:00</p></div><div><div><p>•Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00</p></div><div><div><p>•Document Stores: Wrap Up: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Search Engine Stores: 00:05:00</p></div><div><div><p>•Elasticsearch: 00:09:00</p></div><div><div><p>•Basic Terms Concepts and Description: 00:13:00</p></div><div><div><p>•Movielens in Elastisearch: 00:12:00</p></div><div><div><p>•CRUD in Elasticsearch: 00:15:00</p></div><div><div><p>•Search Queries in Elasticsearch: 00:23:00</p></div><div><div><p>•Aggregation Queries in Elasticsearch: 00:23:00</p></div><div><div><p>•The Elastic Stack (ELK): 00:12:00</p></div><div><div><p>•Use case: UFO Sighting in ElasticSearch: 00:29:00</p></div><div><div><p>•Search Engines: Wrap Up: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Columnar databases: 00:06:00</p></div><div><div><p>•HBase: 00:07:00</p></div><div><div><p>•HBase Architecture: 00:09:00</p></div><div><div><p>•HBase Installation: 00:09:00</p></div><div><div><p>•Apache Zookeeper: 00:06:00</p></div><div><div><p>•Movielens Data in HBase: 00:17:00</p></div><div><div><p>•Performing CRUD in HBase: 00:24:00</p></div><div><div><p>•SQL on HBase - Apache Phoenix: 00:14:00</p></div><div><div><p>•SQL on HBase - Apache Phoenix - Movielens: 00:10:00</p></div><div><div><p>•Demo : GeoLife GPS Trajectories: 00:02:00</p></div><div><div><p>•Wide Column Store: Wrap Up: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Time Series: 00:09:00</p></div><div><div><p>•InfluxDB: 00:03:00</p></div><div><div><p>•InfluxDB Installation: 00:07:00</p></div><div><div><p>•InfluxDB Data Model: 00:07:00</p></div><div><div><p>•Data manipulation in InfluxDB: 00:17:00</p></div><div><div><p>•TICK Stack I: 00:12:00</p></div><div><div><p>•TICK Stack II: 00:23:00</p></div><div><div><p>•Time Series Databases: Wrap Up: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Graph Databases: 00:05:00</p></div><div><div><p>•Modelling in Graph: 00:14:00</p></div><div><div><p>•Modelling Movielens as a Graph: 00:10:00</p></div><div><div><p>•Neo4J: 00:04:00</p></div><div><div><p>•Neo4J installation: 00:08:00</p></div><div><div><p>•Cypher: 00:12:00</p></div><div><div><p>•Cypher II: 00:19:00</p></div><div><div><p>•Movielens in Neo4J: Data Import: 00:17:00</p></div><div><div><p>•Movielens in Neo4J: Spring Application: 00:12:00</p></div><div><div><p>•Data Analysis in Graph Databases: 00:05:00</p></div><div><div><p>•Examples of Graph Algorithms in Neo4J: 00:18:00</p></div><div><div><p>•Graph Databases: Wrap Up: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Big Data With Apache Hadoop: 00:06:00</p></div><div><div><p>•Big Data Storage in Hadoop (HDFS): 00:16:00</p></div><div><div><p>•Big Data Processing : YARN: 00:11:00</p></div><div><div><p>•Installation: 00:13:00</p></div><div><div><p>•Data Processing in Hadoop (MapReduce): 00:14:00</p></div><div><div><p>•Examples in MapReduce: 00:25:00</p></div><div><div><p>•Data Processing in Hadoop (Pig): 00:12:00</p></div><div><div><p>•Examples in Pig: 00:21:00</p></div><div><div><p>•Data Processing in Hadoop (Spark): 00:23:00</p></div><div><div><p>•Examples in Spark: 00:23:00</p></div><div><div><p>•Data Analytics with Apache Spark: 00:09:00</p></div><div><div><p>•Data Compression: 00:06:00</p></div><div><div><p>•Data serialization and storage formats: 00:20:00</p></div><div><div><p>•Hadoop: Wrap Up: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction Big Data SQL Engines: 00:03:00</p></div><div><div><p>•Apache Hive: 00:10:00</p></div><div><div><p>•Apache Hive : Demonstration: 00:20:00</p></div><div><div><p>•MPP SQL-on-Hadoop: Introduction: 00:03:00</p></div><div><div><p>•Impala: 00:06:00</p></div><div><div><p>•Impala : Demonstration: 00:18:00</p></div><div><div><p>•PrestoDB: 00:13:00</p></div><div><div><p>•PrestoDB : Demonstration: 00:14:00</p></div><div><div><p>•SQL-on-Hadoop: Wrap Up: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Architectures: 00:05:00</p></div><div><div><p>•Introduction to Distributed Commit Logs: 00:07:00</p></div><div><div><p>•Apache Kafka: 00:03:00</p></div><div><div><p>•Confluent Platform Installation: 00:10:00</p></div><div><div><p>•Data Modeling in Kafka I: 00:13:00</p></div><div><div><p>•Data Modeling in Kafka II: 00:15:00</p></div><div><div><p>•Data Generation for Testing: 00:09:00</p></div><div><div><p>•Use case: Toll fee Collection: 00:04:00</p></div><div><div><p>•Stream processing: 00:11:00</p></div><div><div><p>•Stream Processing II with Stream + Connect APIs: 00:19:00</p></div><div><div><p>•Example: Kafka Streams: 00:15:00</p></div><div><div><p>•KSQL : Streaming Processing in SQL: 00:04:00</p></div><div><div><p>•KSQL: Example: 00:14:00</p></div><div><div><p>•Demonstration: NYC Taxi and Fares: 00:01:00</p></div><div><div><p>•Streaming: Wrap Up: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Database Polyglot: 00:04:00</p></div><div><div><p>•Extending your knowledge: 00:08:00</p></div><div><div><p>•Data Visualization: 00:11:00</p></div><div><div><p>•Building a Data-driven Organization - Conclusion: 00:07:00</p></div><div><div><p>•Conclusion: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Computing Skills

Hadoop

AWS Certified Database

Data Skills

SQL NoSQL Big Data and Hadoop

Janets

Online Course Marketing

Microsoft SQL

NoSQL

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>The primary audience for this course is database developers who plan to migrate their MongoDB or Cassandra DB workloads to Azure using Cosmos DB.</p>Overview<p>Building Globally Distributed Applications with Cosmos DB<br />Migrate MongoDB Workloads to Cosmos DB<br />Migrate Cassandra DB Workloads to Cosmos DB</p><p>This course will teach the students what is Cosmos DB and how you can migrate MongoDB and Cassandra workloads to Cosmos DB.</p></div><div id="course-pills-2"><h4>Building Globally Distributed Applications with Cosmos DB</h4><ul><li>Cosmos DB overview</li><li>Cosmos DB APIs </li><li>Provisioning Throughput</li><li>Partitioning/Sharding Best Practices</li></ul><h4>Migrate MongoDB Workloads to Cosmos DB</h4><ul><li>Understand Migration Benefits</li><li>Migration Planning</li><li>Data Migration </li><li>Application Migration</li><li>Post-migration considerations</li></ul><h4>Migrate Cassandra DB Workloads to Cosmos DB</h4><ul><li>Understand Migration Benefits</li><li>Migration Planning</li><li>Data Migration </li><li>Application Migration</li><li>Post-migration considerations</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Azure Cosmos DB

Data Migration

DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>Individuals responsible for articulating the technical benefits of AWS services  Individuals interested in learning how to get started with using AWS   SysOps Administrators, Solution Architects and Developers interested in using AWS services</p>Overview<p>Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console. Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).  Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM). Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor.</p><p>AWS Technical Essentials introduces you to AWS services, and common solutions. It provides you with fundamental knowledge to become more proficient in identifying AWS services. It helps you make informed decisions about IT solutions based on your business requirements and get started working on AWS.</p>Prerequisites<p></p><ul> <li>Working knowledge of distributed systems</li> <li>Familiarity with general networking concepts</li> <li>Working knowledge of multi-tier architectures</li> <li>Familiarity with cloud computing concepts</li> </ul><p></p></div><div id="course-pills-2"><h3>1 - AWS introduction and history</h3> <ul> <li>AWS Global Infrastructure</li> <li>Demonstration: AWS Management Console</li> </ul> <h3>2 - AWS Storage</h3> <ul> <li>Identify key AWS storage options</li> <li>Describe Amazon EBS</li> <li>Create an Amazon S3 bucket and manage associated objects</li> </ul> <h3>3 - Compute, network and storage services</h3> <ul> <li>Amazon Elastic Compute Cloud (EC2)</li> <li>Amazon Virtual Private Cloud (VPC)</li> <li>Amazon Simple Storage Service (S3)</li> <li>Amazon Elastic Block Store (EBS)</li> <li>Demonstration: Amazon Simple Storage Service (S3)</li> <li>Hands-on lab: Build your VPC and launch a web server</li> </ul> <h3>4 - AWS Security, AWS Identity and Access Management (IAM)</h3> <ul> <li>AWS Identity and Access Management (IAM)</li> <li>Demonstration: AWS Identity and Access Management (IAM)</li> </ul> <h3>5 - Compute Services &amp; Networking</h3> <ul> <li>Identify the different AWS compute and networking options</li> <li>Describe an Amazon Virtual Private Cloud (VPC)</li> <li>Create an Amazon EC2 instance</li> <li>Use Amazon EBS with Amazon EC2</li> </ul> <h3>6 - Managed Services &amp; Database</h3> <ul> <li>Describe Amazon DynamoDB</li> <li>Understand key aspects of Amazon RDS</li> <li>Launch an Amazon RDS instance</li> </ul> <h3>7 - Databases (RDS, DynamoDB)</h3> <ul> <li>SQL and NoSQL databases</li> <li>Data storage considerations</li> <li>Hands-on lab: Build your database server and connect to it</li> </ul> <h3>8 - AWS elasticity and management tools</h3> <ul> <li>Auto scaling</li> <li>Load balancing</li> <li>Cloud Watch</li> <li>Trusted Advisor</li> <li>Hands-on lab: Scale and load balance your architecture</li> </ul> <h3>9 - Deployment and Management</h3> <ul> <li>Identify what is CloudFormation</li> <li>Describe Amazon CloudWatch metrics and alarms</li> <li>Describe Amazon Identity and Access Management (IAM)</li> </ul></div>

AWS Certification

AWS (Amazon Web Services)

AWS Technical Essentials

<strong>Master MongoDB, an open-source document database and leading NoSQL database that provides high performance, high availability, and automatic scaling. This course covers the MongoDB Community version for beginners and provides over 50 live-running queries, including creating new databases and tables.</strong>
        <p>MongoDB is a No SQL database, which is an open-source, cross-platform, document-oriented database written in C++. MongoDB is a popular document database with powerful capabilities, such as full-text-based search, geospatial queries, data aggregation, and many more features.

The course begins with an introduction to MongoDB and it's features and editions. You will learn to differentiate between SQL and NoSQL databases and set up and install MongoDB on Windows. You will proceed to create a new database and a new collection in MongoDB. You will learn to modify and drop databases and collections. You will learn to insert and display documents in a formatted way using the pretty() method. You will perform various operations on MongoDB using the AND, OR, NOR, and NOT operators. You will explore how to limit records using the limit() method and skip documents using the skip() method. You will create and delete indexes and perform text searches in MongoDB.

Upon completing the course, you will be able to master the concepts of MongoDB NoSQL database, create a new database, and maintain an existing database. You will be able to independently run live queries and use complex queries to manipulate data in the database.

All resources are available at: https://github.com/PacktPublishing/MongoDB-Tutorial-for-Beginners-2022-</p>
        <h2>What You Will Learn</h2><p>Install and set up MongoDB<br>Create a new database and maintain existing databases with MongoDB<br>Implement the sort() method in MongoDB and display sorted results<br>Limit records with limit() and skip documents with skip() method<br>Use find(), explain(), listCommands(), and getCollectionInfos()<br>Create and delete indexes and use search text on collections</p>
        <h2>Audience</h2><p>The course aims at delivering a high-quality learning experience to those who are database beginners, web developers wanting to learn modern database concepts, application developers that would work on databases to store information for their apps, and programmers involved in complex programming that involves data storage and handling. The only prerequisite required to benefit from this course is to have basic knowledge of computer use.</p>
        <h2>Approach</h2><p>The course is delivered step-by-step with explanations included in a tutorial-styled format to make learning MongoDB easier for beginners and to understand how to operate a new database and tables and its concepts with examples of live running queries. The course also provides frequent quizzes and helps refresh your MongoDB skills.</p>
        <h2>Key Features</h2><p>Ace NoSQL with a popular database MongoDB developed for modern applications * Learn to create and run a NoSQL database and maintain an existing database with MongoDB * Master MongoDB and understand database and table concepts with live running queries as examples</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/MongoDB-Tutorial-for-Beginners-2022-</p>
        <h2>About the Author</h2><h3>Amit Diwan</h3><p>Studyopedia was founded by Amit Diwan in 2018 after working for Tutorialspoint , IIT, IASRI, Sitepoint, DU, and C# Corner. Studyopedia sells courses on Udemy, Tutorialspoint, Geeksforgeeks, and Skillshare, providing video courses to master various technologies and programming languages, databases, frameworks, Python, data science, machine learning, Java, Android, C/C++, HTML5, Bootstrap, JavaScript, jQuery, PHP, CSS, WordPress, Drupal, Joomla, Magento, osCommerce, OpenCart, PrestaShop, and other disciplines. Studyopedia delivers high-quality video courses to millions of students and professionals enrolled through their website on multiple programming languages and technologies.</p>
        <h2>Course Outline</h2><h4>1. MongoDB Introduction</h4><p>This section briefly outlines the features and capabilities of MongoDB and how this database system can be used in modern applications.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction and Features</p><p style='margin: 0'>Learn what MongoDB is, its features, editions, and so on.</p></td></tr><tr><td style='padding: 15px;'><p>2. NoSQL Versus SQL (With Examples - MongoDB Versus MySQL)</p><p style='margin: 0'>Learn how SQL and NoSQL are different. We have considered the example of MySQL (SQL-based) and MongoDB (NoSQL based) to understand the concept. We will also see what collections and documents in MongoDB are and how they differ from tables and rows in MySQL.</p></td></tr></tbody></table><br><h4>2. MongoDB Installation and Setup</h4><p>This video demonstrates the installation and setup process of MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Video Name</p><p style='margin: 0'>Learn how to download and install MongoDB on Windows 10. We will also see how to set the path and run mongo with mongod (daemon).</p></td></tr></tbody></table><br><h4>3. Create a Database and Collection</h4><p>In this section, you will learn how to create a database and a collection in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How to create a Database in MongoDB</p><p style='margin: 0'>Learn to create a new database in MongoDB with live examples.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Create a Collection in MongoDB</p><p style='margin: 0'>Create a new collection in MongoDB with live examples. A database has a group of collections.</p></td></tr></tbody></table><br><h4>4. Drop a Collection and Database</h4><p>This section focuses on the creation of a collection and database in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Drop a Collection</p><p style='margin: 0'>Drop a collection in MongoDB. Dropping a collection deletes the entire collection and all its documents and fields.</p></td></tr><tr><td style='padding: 15px;'><p>2. Drop a Database</p><p style='margin: 0'>Drop a database in MongoDB. Dropping a database deletes the entire database and all its collections.</p></td></tr></tbody></table><br><h4>5. Insert and Display</h4><p>This section demonstrates how to insert documents and display documents in a MongoDB Collection.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Insert Documents</p><p style='margin: 0'>Learn to insert documents in a MongoDB collection. A collection in MongoDB has documents and fields. Insert documents using the following methods: insert(): Insert document; insertOne(): Insert a single document; insertMany(): Insert multiple documents.</p></td></tr><tr><td style='padding: 15px;'><p>2. Display Documents</p><p style='margin: 0'>Learn to display documents in MongoDB, that is, query/fetch documents from a collection.</p></td></tr><tr><td style='padding: 15px;'><p>3. Display Documents in a Formatted Way - pretty() Method</p><p style='margin: 0'>Implement the pretty() strategy in MongoDB and display formatted documents. The find() method displays documents, and pretty() displays in a formatted way.</p></td></tr><tr><td style='padding: 15px;'><p>4. Display Collections</p><p style='margin: 0'>Display all the collections in a specific MongoDB database.</p></td></tr></tbody></table><br><h4>6. MongoDB Operators</h4><p>This section illustrates the various operators available for functions in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. AND Operator</p><p style='margin: 0'>Implement the AND operator in MongoDB and retrieve documents satisfying all the conditions.</p></td></tr><tr><td style='padding: 15px;'><p>2. OR Operator</p><p style='margin: 0'>Learn to implement the OR operator in MongoDB to display documents satisfying at least one condition.</p></td></tr><tr><td style='padding: 15px;'><p>3. NOR Operator</p><p style='margin: 0'>Implement the NOR operator in MongoDB, the opposite of the OR operator.</p></td></tr><tr><td style='padding: 15px;'><p>4. NOT Operator</p><p style='margin: 0'>Learn to implement the NOT operator in MongoDB. It negates the conditions.</p></td></tr></tbody></table><br><h4>8. Sort Records in MongoDB</h4><p>This section explains how to sort records using the sort() method and sort in ascending and descending orders.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Sort Records</p><p style='margin: 0'>Learn to implement the sort() method in MongoDB and display sorted results. The documents can be sorted in ascending as well as descending order. For sort order, use 1 for ascending and -1 for descending order.</p></td></tr></tbody></table><br><h4>9. Text Indexing in MongoDB</h4><p>This section demonstrates how to create and delete a text index in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Create and Delete Text Index</p><p style='margin: 0'>Learn how to create and delete text index in MongoDB.</p></td></tr></tbody></table><br><h4>10. Text Search in MongoDB</h4><p>This section explores how to perform searches, especially text searches in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Text Search on a Collection in MongoDB</p><p style='margin: 0'>Learn how to perform text search with $text in MongoDB.</p></td></tr></tbody></table><br><h4>11. Section Name</h4><p>In this section, we will understand how to fetch documents from a collection in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. find() - Fetch Documents From a Collection</p><p style='margin: 0'>Implement the find() method in MongoDB and display documents, that is, fetch documents from a collection.</p></td></tr><tr><td style='padding: 15px;'><p>2. explain() - Provide Information on the Query Plan</p><p style='margin: 0'>Learn how to implement the explain() method in MongoDB. MongoDB explain() provides information on the query plan.</p></td></tr><tr><td style='padding: 15px;'><p>3. stats() - Display Statistics of a Database</p><p style='margin: 0'>Implement the stats() method in MongoDB. This method returns a document with statistics of the database like collections, views, objects, storageSize, indexes, indexSize, totalSize, and so on.</p></td></tr><tr><td style='padding: 15px;'><p>4. listCommands() - Display a List of All Database Commands</p><p style='margin: 0'>Learn how to implement the listCommands() method in MongoDB. This method displays a list of all database commands</p></td></tr><tr><td style='padding: 15px;'><p>5. getCollectionInfos() - Display Collection Information</p><p style='margin: 0'>Implement the getCollectionInfos() method in MongoDB. This method returns an array of documents with collection information.</p></td></tr></tbody></table><br><h4>12. MongoDB Advanced Topics</h4><p>Here, we will focus on how to aggregate, limit, and skip records.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Aggregate Records in MongoDB</p><p style='margin: 0'>Learn how to use MongoDB's aggregate() method to aggregate records.</p></td></tr><tr><td style='padding: 15px;'><p>2. Limit and Skip Records in a Single Query</p><p style='margin: 0'>Learn how we can limit and skip documents in MongoDB using the LIMIT() and SKIP() methods, respectively.</p></td></tr></tbody></table>

Database Programming

Database

Master MongoDB, an open-source document database and leading NoSQL database that provides high performance, high availability, and automatic scaling. This course covers the MongoDB Community version for beginners and provides over 50 live-running queries, including creating new databases and tables.

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