Name: MS Azure - Azure Storage
Price: 18 GBP
Availability: InStock

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			<p><span>SQL Azure is Microsoft's cloud database service. Based on </span><span>SQL Server</span><span> database technology and built on Microsoft's </span><span>Windows Azure</span><span> cloud computing platform, SQL Azure enables organizations to store relational data in the cloud and quickly scale the size of their databases up or down as business needs change. </span></p>
<p><span>This Azure - SQL focuses primarily on Azure SQL Database as a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software. Learn how to deploy relational and non-relational databases in the cloud and explore the breadth of Azure's data services, from a single database instance to a massive scale data warehouse for working with Big data. You'll gain an understanding of how to configure firewall rules, manage log-ins and users, as well as roles and permissions, perform a database restore, and generally secure an Azure SQL database.</span></p>
<p><span>Finally, you'll be introduced to Azure SQL Data Warehouse, a fully managed and scalable cloud service, that is compatible with other Azure offerings, such as Machine Learning and Data Factory, as well as existing SQL Server tools.</span></p>
<h3><strong>What Will I Learn?</strong></h3>
<ul>
<li><span>Overview and provision Azure SQL</span></li>
<li>Connect to Azure SQL DB and Migrate DB to Azure</li>
<li>Work with SQL security and metrics</li>
<li><span>Configure SQL DB auditing</span></li>
<li><span>Copy and export a database</span></li>
<li><span>Use DB Self-Service Restore and SQL DB Geo-Replication</span></li>
</ul>
<h3><strong>Who is the target audience?</strong></h3>
<ul>
<li>Students wanting an understanding of Azure SQL and to build their skills.</li>
</ul>
<h3><strong>Requirements</strong></h3>
<div>
<ul>
<li>Basic understanding of Azure and SQL concepts</li>
</ul>
</div><table>				<tbody><tr>
					<td colspan="4">Introduction</td>
				</tr>
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					<td><i></i></td>
					<td>Introduction</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td colspan="4">Azure SQL</td>
				</tr>
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					<td>Azure SQL</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td>Provisioning Azure SQL</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td>Connecting to Azure SQL DB</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td>Migrating to Azure DB</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td>Understanding SQL Security</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
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					<td><i></i></td>
					<td>Understanding SQL DB Metrics and Auditing</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
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					<td>Backing Up and Protecting your Database</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
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					<td>Using SQL DB Geo-Replication</td>
					<td> </td>
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					<td colspan="4">Conclusion</td>
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					<td>Course Recap</td>
					<td> </td>
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					<td colspan="4">Course Certification </td>
				</tr>
				</tbody></table>

iStudy UK

Azure SQL Database

Azure Cosmos DB

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Azure Machine Learning

Azure - SQL

General Admission

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				<h3><strong>Cloud Computing Essentials Overview</strong></h3><p>Imagine accessing computing power as vast as the sky, scaling it up or down with the agility of a feather, and only paying for what you use. Cloud computing makes this dream a reality, revolutionizing the way we store, manage, and process data. This 'Cloud Computing Essentials' course is your launchpad into this transformative technology, empowering you to navigate the digital stratosphere with confidence.</p><p>Unravel the mysteries of the cloud as we delve into its core principles and delve into its diverse service models. Explore the compelling reasons businesses are migrating to the cloud, discovering the cost-efficiency, scalability, and agility it offers. Compare and contrast public, private, and hybrid cloud deployments, understanding their unique strengths and suitability for different scenarios.</p><p>Master key cloud concepts like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), uncovering their functionalities and use cases. Grasp the economic advantages of cloud computing, including economies of scale and the shared responsibility model. By the end of this journey, you'll be equipped to harness the power of the cloud and elevate your career to new heights.</p><h3><b>Why You Should Choose</b><b> Cloud Computing Essentials</b></h3><ul><li><span>Lifetime access to the course</span></li><li><span>No hidden fees or exam charges</span></li><li><span>CPD Accredited certification on successful completion</span></li><li><span>Full Tutor support on weekdays (Monday - Friday)</span></li><li><span>Efficient exam system, assessment and instant results</span></li><li><span>Download Printable PDF certificate immediately after completion</span></li><li><span>Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.</span></li><li><span>Improve your chance of gaining professional skills and better earning potential.</span></li></ul><h3><b>Who is this Course for?</b></h3><p><b>Cloud Computing Essentials </b><span>is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills.</span></p><p><span>As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.</span></p><h3><b>Requirements</b></h3><p><span>Our</span><b> Cloud Computing Essentials</b><span> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</span></p><h3><b>Career Path</b></h3><p><span>You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. </span></p>					</div>
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					<td colspan="4">Cloud Computing Essentials</td>
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					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
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					<td>The Need for Cloud Computing</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
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					<td><i></i></td>
					<td>What is Cloud Computing - I</td>
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					<td>What is Cloud Computing- II</td>
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					<td>CapEx Vs OpEx</td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td>What are Public Clouds</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td><i></i></td>
					<td>Characteristics of Public Cloud</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td><i></i></td>
					<td>What are Private Clouds</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td><i></i></td>
					<td>Characteristics of Private Cloud</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>What are Private Clouds</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>What is Hybrid Cloud</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Characteristics of Hybrid Cloud</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td><i></i></td>
					<td>Review and What Next!!</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>What is Infrastructure as a service</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Use cases of IAAS</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>What is Platform as a Service?</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Use cases of PAAS</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>What is Software as a Service</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td><i></i></td>
					<td>Key Concepts and Terminology</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
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					<td><i></i></td>
					<td>Economies of Scale</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>What is Shared Responsibility model</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
				</tbody></table>

Computing Skills

Cloud Architecture

Certified Cloud Security Professional (CCSP)

Cloud Computing

AWS Certified Cloud Practitioner

Cloud

Cloud Computing Essentials

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			<p>Do you ever wonder how to build scalable sales funnels that convert visitors into customers? If the answer to this question is 'Yes', then you are in the right place at the right time. Our sales funnel course will help you discover how to build converting sales funnel from scratch, even if you don't know the basics!</p>
<p><span>Sales funnel is all about turning an 'on the fence' client into a raving fan who will refer even more people to you! But in today's world is a sale funnel really important? And does it really matter, especially if you've been getting by so far without it? Our diploma in sales funnel is your ultimate guide to why you need a sales funnel, how to set one up, and how to continuously enhance your funnel to make more money, no matter what your industry. Towards the end of this course, you will know how to design your own sales funnel for your business without a website that will turn visitors into subscribers.</span></p>
<h3><b>Course Highlights</b></h3>
<p><b>Sales Funnels Diploma</b><span> is an award winning and the best selling </span><b></b><span> course that has been given the CPD Certification &amp; IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector.</span></p>
<p><span>It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Sales Funnels Diploma into </span><b>21</b><span> modules for teaching you everything you need to become successful in this profession.</span></p>
<p><span>To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just </span><b>10 hours, 55 minutes</b><span> and it is also possible to study at your own pace.</span></p>
<p><span>We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.</span></p>
<p><span>For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.</span></p>
<h3><b>Why You Should Choose</b><b> Sales Funnels Diploma</b></h3>
<ul>
<li><span>Lifetime access to the course</span></li>
<li><span>No hidden fees or exam charges</span></li>
<li><span>CPD Accredited certification on successful completion</span></li>
<li><span>Full Tutor support on weekdays (Monday - Friday)</span></li>
<li><span>Efficient exam system, assessment and instant results</span></li>
<li><span>Download Printable PDF certificate immediately after completion</span></li>
<li><span>Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.</span></li>
<li><span>Improve your chance of gaining professional skills and better earning potential.</span></li>
</ul>
<h3><b>Who is this Course for?</b></h3>
<p><b>Sales Funnels Diploma </b><span>is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills.</span></p>
<p><span>As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.</span></p>
<h3><b>Requirements</b></h3>
<p><span>Our</span><b> Sales Funnels Diploma</b><span> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</span></p>
<h3><b>Career Path</b></h3>
<p><span>You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. </span></p><table>				<tbody><tr>
					<td colspan="4">Module 01</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is A Sales Funnel?</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is Internet Commerce</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Can I Sell</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>ClickBank</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Drop Shipping</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Affiliate Marketing</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Link Between Products, Key Words and Prospects</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Front-end and Back-end of Sales Funnels</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sales Funnel Success</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sales Funnel Planning</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Putting Your Theory to Practice</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Content Marketing</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Article Marketing</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Google's Adwords Program</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Marketing Offline</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Blogs</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Social Media</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Auto Responders</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Joint Venture</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Measuring Success</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Top Sales Funnel Products</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Mock Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mock Exam- Sales Funnels Diploma</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Final Exam</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Final Exam- Sales Funnels Diploma</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
				</tbody></table>

Online Course Marketing

Finance Cert & Exam Prep

Online Course Creation

Trainers Course

Sales Funnels Diploma

NextGen Learning

Learn Python, JavaScript, and Microsoft SQL for Data science Course

Microsoft Office Bundle 2019 Course

Microsoft Office - MS Word, Excel, Access & PowerPoint Course

Microsoft Office Basic to Advance Course

Business Strategy Planning Course

<div>
	<h3><b>Description</b></h3>
<p><span>Nowadays, SQL Developers are in-demand and becoming a SQL developer can be a rewarding and fulfilling profession.</span></p>
<p><span>This </span><b>SQL Masterclass: SQL for Data Analytic</b><span> is intended for absolute beginners that concentrate on giving the appropriate knowledge of Microsoft SQL Server and help to acquire the skills and abilities to become an SQL Server developer as well as offer many job opportunities in the competitive job market.</span></p>
<p><span>In this course, you will learn how to create databases, tables, design databases and tables. You will also learn to create flat file database, confidently use SSMS Tool as well as write basic T-SQL Queries. In addition to that, learn to create constraints and views in the most dynamic way possible.</span></p>
<p><span>Enrol right now and start exploring SQL, the most popular relational database management system.</span></p>
<h3><b>Entry Requirement:</b></h3>
<ul>
<li>This course is available to all learners, of all academic backgrounds.</li>
<li>Learners should be aged 16 or over to undertake the qualification.</li>
<li>Good understanding of English language, numeracy and ICT are required to attend this course.</li>
</ul>
<h3><b>Assessment:  </b></h3>
<ul>
<li>At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.</li>
<li>Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam.</li>
</ul>
<h3><strong>Certification:</strong></h3>
<p>After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24.</p>
<h3><b>Why choose us?</b></h3>
<ul>
<li>Affordable, engaging &amp; high-quality e-learning study materials;</li>
<li>Tutorial videos/materials from the industry leading experts;</li>
<li>Study in a user-friendly, advanced online learning platform;</li>
<li>Efficient exam systems for the assessment and instant result;</li>
<li>The UK &amp; internationally recognized accredited qualification;</li>
<li>Access to course content on mobile, tablet or desktop from anywhere anytime;</li>
<li>The benefit of career advancement opportunities;</li>
<li>24/7 student support via email.</li>
</ul>
<h3><strong>Career Path</strong></h3>
<p>After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.</p>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4">SQL for Data Analytic - Beginner Level</td>
				</tr>
								<tr>
					<td colspan="4">Module: 01</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tools for Creating Views</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Examples</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Updating Data Using a View</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Columns and Indexed Views</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 02</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction Stored Procedures</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Stored Procedures</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Returning Data</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 03</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Testing and Debugging</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Execute with Result Sets</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Triggers</td>
					<td> </td>
					<td><span><i></i> 00:26:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 04</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview and Scalar Functions</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Inline Table Valued Functions</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Multi Statement</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Views and Stored Procedures</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 05</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Transaction Concepts</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Applications and Transactions</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Explicit Transactions</td>
					<td> </td>
					<td><span><i></i> 00:29:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Structured Error Handling</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 06</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to SQL CLR</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Writing SQL CLR Code</td>
					<td> </td>
					<td><span><i></i> 00:24:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using SQL CLR Code</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL CLR Code</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL CLR Security</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">SQL for Data Analytic - Intermediate Level</td>
				</tr>
								<tr>
					<td colspan="4">Module: 07</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Aggregates</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:27:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B User Defined Types</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Table and Functions</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Managing Code Modules</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 08</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Introduction Data Tools</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Connected Database Development</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Updating a Connected Database</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 09</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Creating New Objects with TSQL</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Comparing Database Schemas</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Offline Database Development</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Database Project Settings</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 10</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Using APPLY</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B MERGE Statement</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Creating Recursive Queries</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Grouping Sets</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 11</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A ROLLUP and CUBE Operators</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Creating Pivot Queries</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Executing Dynamic SQL</td>
					<td> </td>
					<td><span><i></i> 00:28:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 12</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Complex Query Execution</td>
					<td> </td>
					<td><span><i></i> 00:26:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Using Execution Plans</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Execution Plan Operators</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Common Join Operators</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 13</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Hierarchy ID Data Type</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Exploring a Hierarchy</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Sparse Columns</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Column Sets</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 14</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Filtered Indexes</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B FILESTREAM Storage</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Adding Sequences to Queries</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 15</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Introduction to Spatial Data</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Spatial Data in SQL Server</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Manipulating Spatial Shapes</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Interactions Between Objects</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">SQL for Data Analytic - Advanced Level</td>
				</tr>
								<tr>
					<td colspan="4">Module: 16</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Partitioning</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Creating Partition Tables</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Querying Partitions</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Managing Partitions</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 17</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Complex Querying</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Rankings</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C SubQueries</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Common Table Expressions</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 18</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A Complex Data and Structures</td>
					<td> </td>
					<td><span><i></i> 00:26:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B Efficient Queries</td>
					<td> </td>
					<td><span><i></i> 00:36:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Complex Queries</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module: 19</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic A XML Data Type</td>
					<td> </td>
					<td><span><i></i> 00:28:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic B  XML Schemas</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic C Querying XML</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Topic D Best Practices</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
				</tbody></table>

John Academy

Microsoft Certification

Microsoft SQL Server

Microsoft SQL

SQL Server

SQL Masterclass: SQL for Data Analytic

<div>
	<h3><strong>Description</strong></h3>
<p><span>Learn to leverage Azure Storage in your applications with the intensive course <strong>MS Azure - Azure Storage</strong>.</span></p>
<p><span>Microsoft Azure Storage is the durable, highly available, massively scalable, secure, durable, and redundant cloud storage solution of Microsoft.  It includes Azure Blobs (objects), Azure Data Lake Storage Gen2, Azure Files, Azure Queues, and Azure Tables. In the course, you will learn how to work with Azure storage accounts. You will learn how to expose file shares to multiple VMs in Azure at the same time. The course guides you the procedures of using Blob storage, File Storage, and Content Delivery Network. Additionally, you will know how to monitor the storage and look at Azure File Sync.</span></p>
<p><span>Finally, the course teaches you how to work with Backup Vault and site Recovery.</span></p>
<h3><b>Assessment:</b></h3>
<p>This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work.</p>
<h3><strong>Certification:</strong></h3>
<p>After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24.</p>
<h3><b>Who is this Course for?</b></h3>
<p><strong>MS Azure - Azure Storage</strong> is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills.</p>
<p>As there is no experience and qualification required for this course, it is available for all students from any academic background.</p>
<h3><b>Requirements</b></h3>
<p>Our<b> MS Azure - Azure Storage</b> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</p>
<h3><b>Career Path</b></h3>
<p>After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.</p>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4">Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Working with Storage</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Azure Storage Overview</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Working with Azure Storage Accounts</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Storage Access</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Azure Blob Storage</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Azure File Storage</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Azure File Sync</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Monitoring Storage</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Content Delivery Network</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>CDN Profile</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Azure Backup Vault</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Azure Site Recovery</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Conclusion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Course Recap</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
				</tbody></table>

Microsoft AZ-900

Microsoft Virtual Academy (MVA)

Microsoft AZ-700

MS Azure - Azure Storage

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>Successful students have experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. Students also have experience designing and architecting solutions.</p> <p>Before attending this course, students must have previous experience deploying or administering Azure resources and strong conceptual knowledge of:</p> <ul> <li><p>Azure compute technologies such as VMs, containers and serverless solutions</p> </li> <li><p>Azure virtual networking to include load balancers</p> </li> <li><p>Azure Storage technologies (unstructured and databases)</p> </li> <li><p>General application design concepts such as messaging and high availability</p> </li> </ul><p></p><p></p><p>This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.</p><p></p>Prerequisites<p>Before attending this course, students must have previous experience deploying or administering Azure resources and conceptual knowledge of:  </p><li>Azure Active Directory</li>  <li>Azure compute technologies such as VMs, containers and serverless solutions</li>  <li>Azure virtual networking to include load balancers</li>  <li>Azure Storage technologies (unstructured and databases)</li>  <li>General application design concepts such as messaging and high availability</li>  <li>AZ-104T00 - Microsoft Azure Administrator<p></p></li></div><div id="course-pills-2"><h3>1 - Design governance</h3> <ul> <li>Design for governance</li> <li>Design for management groups</li> <li>Design for subscriptions</li> <li>Design for resource groups</li> <li>Design for resource tags</li> <li>Design for Azure Policy</li> <li>Design for role-based access control (RBAC)</li> <li>Design for Azure landing zones</li> </ul> <h3>2 - Design an Azure compute solution</h3> <ul> <li>Choose an Azure compute service</li> <li>Design for Azure Virtual Machines solutions</li> <li>Design for Azure Batch solutions</li> <li>Design for Azure App Service solutions</li> <li>Design for Azure Container Instances solutions</li> <li>Design for Azure Kubernetes Service solutions</li> <li>Design for Azure Functions solutions</li> <li>Design for Azure Logic Apps solutions</li> </ul> <h3>3 - Design a data storage solution for non-relational data</h3> <ul> <li>Design for data storage</li> <li>Design for Azure storage accounts</li> <li>Design for data redundancy</li> <li>Design for Azure Blob Storage</li> <li>Design for Azure Files</li> <li>Design for Azure managed disks</li> <li>Design for storage security</li> </ul> <h3>4 - Design a data storage solution for relational data</h3> <ul> <li>Design for Azure SQL Database</li> <li>Design for Azure SQL Managed Instance</li> <li>Design for SQL Server on Azure Virtual Machines</li> <li>Recommend a solution for database scalability</li> <li>Recommend a solution for database availability</li> <li>Design security for data at rest, data in motion, and data in use</li> <li>Design for Azure SQL Edge</li> <li>Design for Azure Cosmos DB and Table Storage</li> </ul> <h3>5 - Design data integration</h3> <ul> <li>Design a data integration solution with Azure Data Factory</li> <li>Design a data integration solution with Azure Data Lake</li> <li>Design a data integration and analytic solution with Azure Databricks</li> <li>Design a data integration and analytic solution with Azure Synapse Analytics</li> <li>Design strategies for hot, warm, and cold data paths</li> <li>Design an Azure Stream Analytics solution for data analysis</li> </ul> <h3>6 - Design an application architecture</h3> <ul> <li>Describe message and event scenarios</li> <li>Design a messaging solution</li> <li>Design an Azure Event Hubs messaging solution</li> <li>Design an event-driven solution</li> <li>Design a caching solution</li> <li>Design API integration</li> <li>Design an automated app deployment solution</li> <li>Design an app configuration management solution</li> </ul> <h3>7 - Design authentication and authorization solutions</h3> <ul> <li>Design for identity and access management (IAM)</li> <li>Design for Microsoft Entra ID</li> <li>Design for Microsoft Entra business-to-business (B2B)</li> <li>Design for Azure Active Directory B2C (business-to-customer)</li> <li>Design for conditional access</li> <li>Design for identity protection</li> <li>Design for access reviews</li> <li>Design service principals for applications</li> <li>Design managed identities</li> <li>Design for Azure Key Vault</li> </ul> <h3>8 - Design a solution to log and monitor Azure resources</h3> <ul> <li>Design for Azure Monitor data sources</li> <li>Design for Azure Monitor Logs (Log Analytics) workspaces</li> <li>Design for Azure Workbooks and Azure insights</li> <li>Design for Azure Data Explorer</li> </ul> <h3>9 - Design network solutions</h3> <ul> <li>Recommend a network architecture solution based on workload requirements</li> <li>Design patterns for Azure network connectivity services</li> <li>Design outbound connectivity and routing</li> <li>Design for on-premises connectivity to Azure Virtual Network</li> <li>Choose an application delivery service</li> <li>Design for application delivery services</li> <li>Design for application protection services</li> </ul> <h3>10 - Design a solution for backup and disaster recovery</h3> <ul> <li>Design for backup and recovery</li> <li>Design for Azure Backup</li> <li>Design for Azure blob backup and recovery</li> <li>Design for Azure files backup and recovery</li> <li>Design for Azure virtual machine backup and recovery</li> <li>Design for Azure SQL backup and recovery</li> <li>Design for Azure Site Recovery</li> </ul> <h3>11 - Design migrations</h3> <ul> <li>Evaluate migration with the Cloud Adoption Framework</li> <li>Describe the Azure migration framework</li> <li>Assess your on-premises workloads</li> <li>Select a migration tool</li> <li>Migrate your structured data in databases</li> <li>Select an online storage migration tool for unstructured data</li> <li>Migrate offline data</li> </ul> <h3>12 - Introduction to the Microsoft Azure Well-Architected Framework</h3> <ul> <li>Azure Well-Architected Framework pillars</li> <li>Cost optimization</li> <li>Operational excellence</li> <li>Performance efficiency</li> <li>Reliability</li> <li>Security</li> </ul> <h3>13 - Microsoft Azure Well-Architected Framework - Cost Optimization</h3> <ul> <li>Develop cost-management discipline</li> <li>Design with a cost-efficiency mindset</li> <li>Design for usage optimization</li> <li>Design for rate optimization</li> <li>Monitor and optimize over time</li> </ul> <h3>14 - Microsoft Azure Well-Architected Framework - Operational excellence</h3> <ul> <li>Embrace DevOps culture</li> <li>Establish development standards</li> <li>Evolve operations with observability</li> <li>Deploy with confidence</li> <li>Automate for efficiency</li> <li>Adopt safe deployment practices</li> </ul> <h3>15 - Microsoft Azure Well-Architected Framework - Performance efficiency</h3> <ul> <li>Negotiate realistic performance targets</li> <li>Design to meet capacity requirements</li> <li>Achieve and sustain performance</li> <li>Improve efficiency through optimization</li> </ul> <h3>16 - Microsoft Azure Well-Architected Framework - Reliability</h3> <ul> <li>Design for business requirements</li> <li>Design for resilience</li> <li>Design for recovery</li> <li>Design for operations</li> <li>Keep it simple</li> </ul> <h3>17 - Microsoft Azure Well-Architected Framework - Security</h3> <ul> <li>Plan your security readiness</li> <li>Design to protect confidentiality</li> <li>Design to protect integrity</li> <li>Design to protect availability</li> <li>Sustain and evolve your security posture</li> </ul> <h3>18 - Getting started with the Microsoft Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Common blockers</li> </ul> <h3>19 - Prepare for successful cloud adoption with a well-defined strategy</h3> <ul> <li>Customer narrative</li> <li>Capture strategic motivation</li> <li>Define objectives and key results</li> <li>Evaluate financial considerations</li> <li>Understand technical considerations</li> <li>Create a business case</li> </ul> <h3>20 - Prepare for cloud adoption with a data-driven plan</h3> <ul> <li>Customer narrative</li> </ul> <h3>21 - Choose the best Azure landing zone to support your requirements for cloud operations</h3> <ul> <li>Customer narrative</li> <li>Common operating models</li> <li>Design areas for Azure landing zones</li> <li>Design principles for Azure landing zones</li> <li>Journey to the target architecture</li> <li>Choose an Azure landing zone option</li> <li>Deploy the Azure landing zone accelerator</li> <li>Enhance your landing zone</li> </ul> <h3>22 - Migrate to Azure through repeatable processes and common tools</h3> <ul> <li>Customer narrative</li> <li>Migration process</li> <li>Migration tools</li> <li>Common tech platforms</li> </ul> <h3>23 - Address tangible risks with the Govern methodology of the Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Govern methodology</li> <li>Corporate policies</li> <li>Governance disciplines</li> <li>Deploy a cloud governance foundation</li> <li>The Cost Management discipline</li> </ul> <h3>24 - Ensure stable operations and optimization across all supported workloads deployed to the cloud</h3> <ul> <li>Establish business commitments</li> <li>Deploy an operations baseline</li> <li>Protect and recover</li> <li>Enhance an operations baseline</li> <li>Manage platform and workload specialization</li> </ul> <h3>25 - Innovate applications by using Azure cloud technologies</h3> <ul> <li>Follow the innovation lifecycle</li> <li>Azure technologies for the build process</li> <li>Infuse your applications with AI</li> <li>Azure technologies for measuring business impact</li> <li>Azure technologies for the learn process</li> </ul> <h3>26 - Prepare for cloud security by using the Microsoft Cloud Adoption Framework for Azure</h3> <ul> <li>Customer narrative</li> <li>Methodology</li> <li>Security roles and responsibilities</li> <li>Simplify compliance and security</li> <li>Simplify security implementation</li> <li>Security tools and policies</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans AZ-305T00: Designing Microsoft Azure Infrastructure Solutions 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 AZ-305T00: Designing Microsoft Azure Infrastructure Solutions 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>

Nexus Human

AWS Certified Solutions Architect

AZ-305T00 Designing Microsoft Azure Infrastructure Solutions

Packt

Scala

Big Data

Scala is doubtless one of the most in-demand skills for data scientists and data engineers. This competitive course will teach you the essential concepts and methodologies of Scala with a lot of practical implementations.

Scala & Spark-Master Big Data with Scala and Spark

<strong>This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth.

Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.</strong>
        <p>Modern applications often need to describe complex workflows involving multiple external systems. These are notoriously difficult to get right as it requires handling errors, various retry strategies, and non-determinism because of concurrent executions. In this course, you will learn how to solve this problem using both imperative and functional programming.

This course is divided into three parts.

The first part covers building a CLI tool imperatively. Here, you will learn how to test code with external dependencies, handle errors, and retry if something goes wrong. One of the goals of the section is to discover how functional programmers came up with the notion of IO. It's the commonest way to action the functional programming world.

In the next part, you will create and implement an IO class from scratch; this will solve two different problems, of which one is searching for a flight aggregator. In the final part, you will extend IO to execute tasks concurrently. Here, you will be looking to add concurrency methods to IO implementation so that you can execute some tasks in the background.

By the end of the course, you will be able to read and write code using popular Scala libraries such as cats-effect, Monix, and ZIO. This skill is in high demand.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Supercharge-Scala-Future---FP-Tower</p>
        <h2>What You Will Learn</h2><p>Install SBT, Scala, and IntelliJ IDEA<br>Understand the difference between IO (cats-effect, Monix, ZIO) and Future<br>Learn to use lazy evaluation to repeat actions and execute code concurrently<br>Write property-based tests for real-world examples<br>Understand the dangers of blocking code in a concurrent environment<br>Execute a project on flight search aggregator</p>
        <h2>Audience</h2><p>This course is designed for developers interested in concurrency, functional programming, and backend developers. Scala developers more familiar with Akka, Play, and Future will also gain a lot from this course. Individuals who want to gain the skills to join one of the many companies using functional Scala and learn to think functionally will be best suited to this course.<br><br>You will need to have moderate programming experience with Scala. The author will take you through downloading and installing SBT, Scala, and an IDE.</p>
        <h2>Approach</h2><p>This course is designed with a practical and hands-on approach. In this course, you will write lots of Scala code, test it using both example-based and property-based tests, experience issues caused by blocking logic and concurrent execution, and work your way to efficient solutions in small and incremental steps. The author guides you through all the exercises and provides a complete set of solutions.</p>
        <h2>Key Features</h2><p>Learn by demystifying complex concepts using explanations that are free of confusing jargon * Gain the skills to join one of the many companies using functional Scala * Learn to think functionally with the help of all requisite resources and learn from scratch</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Supercharge-Scala-Future---FP-Tower</p>
        <h2>About the Author</h2><h3>Julien Truffaut</h3><p>Fp-Tower by Julien Truffaut offers online Scala courses that help in learning the practical side of functional programming, so you can improve your skills and your career. He is a programmer who specializes in functional programming and the Scala programming language. He has been conducting functional programming seminars and online courses with remarkable success for over seven years. He focuses on demystifying complex subjects through straightforward explanations free of jargon.

He is the author of Monocle, an optics library for functional Scala developers, which allows them to quickly transform and access deeply nested data structures. This is comparable to XPath or jq, except that it applies to all immutable data structures.</p>
        <h2>Course Outline</h2><h4>1. Actions with Imperative Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Console Exercise - Testing</p><p style='margin: 0'>This video demonstrates how to take users' input through the command line.</p></td></tr><tr><td style='padding: 15px;'><p>3. Console Exercises - Error Handling</p><p style='margin: 0'>This video demonstrates how to take users' input through the command line, making it more user-friendly using the error handling feature.</p></td></tr><tr><td style='padding: 15px;'><p>4. Evaluation</p><p style='margin: 0'>This video demonstrates how code is executed in Scala and how to delay an execution to an appropriate time. You will start by reviewing the techniques to define a code expression in Scala.</p></td></tr><tr><td style='padding: 15px;'><p>5. Console Exercises - retry and onError</p><p style='margin: 0'>This video helps you learn the concept of retrying an operation with a single higher order function and reuse to refactor the code of readDataOfBirthRetry and readSubscribeToMailingListRetry.</p></td></tr><tr><td style='padding: 15px;'><p>6. Console Exercises - Code Organization</p><p style='margin: 0'>This video demonstrates and explains code organization.</p></td></tr></tbody></table><br><h4>2. Build Your Own IO</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Is an IO?</p><p style='margin: 0'>This video provides an overview about IO (Input/Output).</p></td></tr><tr><td style='padding: 15px;'><p>2. IO Composition</p><p style='margin: 0'>This video explains about IO composition.</p></td></tr><tr><td style='padding: 15px;'><p>3. For Comprehension</p><p style='margin: 0'>This video demonstrates the comprehension part.</p></td></tr><tr><td style='padding: 15px;'><p>4. Error Handling with IO</p><p style='margin: 0'>This video talks about error handling with IO.</p></td></tr><tr><td style='padding: 15px;'><p>5. Refactoring</p><p style='margin: 0'>This video explains the concept of refactoring.</p></td></tr></tbody></table><br><h4>3. Project: Search Flight Aggregator</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. First Implementation</p><p style='margin: 0'>This video provides an introduction and the project's implementation from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>2. Traverse and Sequence</p><p style='margin: 0'>This video demonstrates the concepts of traverse and sequence in this project.</p></td></tr><tr><td style='padding: 15px;'><p>3. Concurrent IO</p><p style='margin: 0'>This video explains one of the toughest concepts, which is Concurrent IO.</p></td></tr><tr><td style='padding: 15px;'><p>4. Non-Blocking IO</p><p style='margin: 0'>This video explains about Non-Blocking IO.</p></td></tr></tbody></table><br><h4>4. Conclusion</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Thank You and Conclusion</p><p style='margin: 0'>This video talks about the course conclusion and helps you with the next steps.</p></td></tr></tbody></table>

Java

Programming

This is an amazing course for anyone who wants to get started with functional programming with libraries such as cats-effect/ZIO and understand IO Monad in depth.

Learn about functional programming and effects from this most structured and well-thought-out course on Scala IOs.

Supercharge Scala Future | FP-Tower

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p></p><p>This course can be valuable for anyone who needs to write basic SQL or Transact-SQL queries. This includes anyone working with data as a data analyst, a data engineer, a data scientist, a database administrator or a database developer. It can also be useful for others peripherally involved with data, or wanting to learn more about working with data such as solution architects, students and technology managers.</p><p></p><p></p><p>This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.</p><p></p></div><div id="course-pills-2"><h3>1 - Introduction to Transact-SQL</h3> <ul> <li>Work with schemas</li> <li>Explore the structure of SQL statements</li> <li>Examine the SELECT statement</li> <li>Work with data types</li> <li>Handle NULLs</li> </ul> <h3>2 - Sort and filter results in T-SQL</h3> <ul> <li>Sort your results</li> <li>Limit the sorted results</li> <li>Page results</li> <li>Remove duplicates</li> <li>Filter data with predicates</li> </ul> <h3>3 - Combine multiple tables with JOINs in T-SQL</h3> <ul> <li>Understand joins concepts and syntax</li> <li>Use inner joins</li> <li>Use outer joins</li> <li>Use cross joins</li> <li>Use self joins</li> </ul> <h3>4 - Write Subqueries in T-SQL</h3> <ul> <li>Understand subqueries</li> <li>Use scalar or multi-valued subqueries</li> <li>Use self-contained or correlated subqueries</li> </ul> <h3>5 - Use built-in functions and GROUP BY in Transact-SQL</h3> <ul> <li>Categorize built-in functions</li> <li>Use scalar functions</li> <li>Use ranking and rowset functions</li> <li>Use aggregate functions</li> <li>Summarize data with GROUP BY</li> <li>Filter groups with HAVING</li> </ul> <h3>6 - Modify data with T-SQL</h3> <ul> <li>Insert data</li> <li>Generate automatic values</li> <li>Update data</li> <li>Delete data</li> <li>Merge data based on multiple tables</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-080T00 Querying Data with Microsoft Transact-SQL 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-080T00 Querying Data with Microsoft Transact-SQL 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>

Learning & Development

Design & Technology Courses (DT)

Data Skills

Teaching & Training

DP-080T00 Querying Data with Microsoft Transact-SQL

<strong>In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.</strong>
        <p>In this course, you will learn the basics of the Scala programming language; learn how Apache Spark operates on a cluster; set up discretized streams with Spark Streaming and transform them as data is received; analyze streaming data over sliding windows of time; maintain stateful information across streams of data; connect Spark Streaming with highly scalable sources of data, including Kafka, Flume, and Kinesis; dump streams of data in real-time to NoSQL databases such as Cassandra; run SQL queries on streamed data in real-time; train machine learning models in real-time with streaming data, and use them to make predictions that keep getting better over time; and also, package, deploy, and run self-contained Spark Streaming code to a real Hadoop cluster using Amazon Elastic MapReduce.

This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. By the end of this course, you will be confidently creating Spark Streaming scripts in Scala and be prepared to tackle massive streams of data in a whole new way. You will be surprised at how easy Spark Streaming makes it!

All the codes and supporting files for this course are available at https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-</p>
        <h2>What You Will Learn</h2><p>Process large amounts of real-time data using the Spark Streaming module<br>Create efficient Spark applications using the Scala programming language<br>Integrate Spark Streaming with various data sources<br>Integrate Spark Streaming with Spark SQL to query your data in real time<br>Train machine learning models with streaming data, and use for real-time predictions<br>Maintain stateful data across a continuous stream of input data</p>
        <h2>Audience</h2><p>If you are a student who wants to learn how to use Apache Spark or a big data professional who wants to process large amounts of data on a real-time basis, this course is for you. Some basic programming and scripting experience is required to get the most out of the course.</p>
        <h2>Approach</h2><p>This course is very hands-on, filled with achievable activities and exercises to reinforce your learning. In this course, we will cover some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models! You will write and run real Spark Streaming jobs right at home on your own PC.</p>
        <h2>Key Features</h2><p>Process streams of real-time data from various sources with Spark Streaming * Query your streaming data in real-time using Spark SQL * A comprehensive tutorial with practical examples to help you develop real-time Spark applications</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/streaming-big-data-with-spark-streaming-scala-and-spark-3-</p>
        <h2>About the Author</h2><h3>Frank Kane</h3><p>Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.</p>
        <h2>Course Outline</h2><h4>1. Getting Started</h4><p>In this first section, we will introduce the course and set up the development environment for Spark and Scala. We will then create our first Spark Streaming application to display live Twitter feeds.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction, and Getting Set Up</p><p style='margin: 0'>A brief introduction to the course, and then we will get your development environment for Spark and Scala all set up on your desktop. A quick test application will confirm Spark is working on your system!</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Stream Live Tweets with Spark Streaming!</p><p style='margin: 0'>Get set up with a Twitter developer account and run your first Spark Streaming application to listen to and print out live Tweets as they happen!</p></td></tr></tbody></table><br><h4>2. A Crash Course in Scala</h4><p>In this section, we will take a deep dive into Scala. Even if you've never used Scala before, we will cover all of the syntax and structure that you will need to know in order to begin mining your data. We will run through flow control, functions, and data structures with numerous examples throughout so that you can see everything in action and make sure you're understanding it.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Activity] Scala Basics</p><p style='margin: 0'>We start our crash course in the Scala programming language by covering some basics of the language: types and variables, printing, and Boolean comparisons.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Flow Control in Scala</p><p style='margin: 0'>Our Scala crash course continues, illustrating various means of flow control in Scala. For loops, do/while loops, while loops and so on.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Functions in Scala</p><p style='margin: 0'>Scala is a functional programming language, and so understanding how functions work and are treated in Scala is hugely important! This lecture covers the fundamentals, and lets you put it into practice.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Exercise] Data Structures in Scala</p><p style='margin: 0'>We wrap up our Scala crash course with commonly used data structures using in Spark with Scala. Tuples, lists, and maps.</p></td></tr></tbody></table><br><h4>3. Spark Streaming Concepts</h4><p>In this section, we will introduce the core concepts of Spark and Spark Streaming. We will define and work with RDDs (Resilient Distributed Datasets) and show you examples of what they can do. RDDs are the key to understanding Spark, and therefore also Spark Streaming. This is also where we will dive deeper into Spark Streaming itself, understanding its inner workings and how the concept of windowing will enable you to aggregate and analyze data over time. Finally, we will take a look at reliability and fault tolerance with regards to Spark Streaming and a few ways in which you can maximize reliability.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Spark</p><p style='margin: 0'>Before you can learn about Spark Streaming, you need to understand how Spark itself works at a high level! This video covers the why and how of Apache Spark, of which Spark Streaming is a component.</p></td></tr><tr><td style='padding: 15px;'><p>2. The Resilient Distributed Dataset (RDD)</p><p style='margin: 0'>The fundamental object of Spark programming is the Resilient Distributed Dataset (RDD), and this is used not just in Spark but also within Spark Streaming scripts. This lecture explains what they are and what you can do with them.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Activity] RDD's in Action: Simple Word Count Application</p><p style='margin: 0'>Let's walk through and actually run a simple Spark script that counts the number of occurrences of each word in a book.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to Spark Streaming</p><p style='margin: 0'>We finally have all the pr-requisite knowledge to start talking about Spark Streaming itself in more detail! We will cover how it works, what it's for, and its architecture.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Activity] Revisiting the PrintTweets application</p><p style='margin: 0'>Now that we know more, let's go revisit that first Spark Streaming application we ran in lecture two, and dive into how it really works.</p></td></tr><tr><td style='padding: 15px;'><p>6. Windowing: Aggregating data over longer time spans</p><p style='margin: 0'>Windowing allows you to analyze streaming data over a sliding window of time, which lets you do much more than just transform streaming data and store it someplace else. We will cover the concepts of the batch, window, and slide intervals, and how they work together to let you aggregate streaming data over some period of time.</p></td></tr><tr><td style='padding: 15px;'><p>7. Fault Tolerance in Spark Streaming</p><p style='margin: 0'>How can Spark Streaming do so much work continuously in a reliable manner? We will uncover some of its tricks for reliability, as well as tips for configuring Spark Streaming to be as reliable as possible.</p></td></tr></tbody></table><br><h4>4. Spark Streaming Examples with Twitter</h4><p>Now that we have seen the theory behind Spark Streaming, this section is dedicated to putting all of that into action. We will look at three practical examples of taking Twitter data and applying our new learning to it with file output, windowing, and live tracking, and analysis.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Saving Tweets to Disk</p><p style='margin: 0'>We will build on our "print tweets" example to actually store the incoming tweets to disk and illustrate how Spark Streaming can handle file output.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Tracking the Average Tweet Length</p><p style='margin: 0'>Compute the average length of a tweet, using windowing in Spark Streaming.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Tracking the Most Popular Hashtags</p><p style='margin: 0'>This is a fun one! We will track the most popular hashtags in Twitter over time and watch how they change in real time!</p></td></tr></tbody></table><br><h4>5. Spark Streaming Examples with Clickstream / Apache Access Log Data</h4><p>This section will continue to look at some of the more advanced aspects of Spark Streaming, this time using Apache access logs to monitor website traffic in real time, showing the most accessed pages and flagging up and log errors as they occur. We will also use SparkSQL to query our data live. Finally, we will look at Spark 2's new structured streaming approach, and how we can use DataSets to streamline our analysis.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Tracking the Top URL's Requested</p><p style='margin: 0'>We will simulate an incoming stream of Apache access logs and use Spark Streaming to keep track of the most-requested web pages in real time!</p></td></tr><tr><td style='padding: 15px;'><p>2. [Exercise] Alarming on Log Errors</p><p style='margin: 0'>This example will listen to an Apache access log stream and raise an alarm if too many errors are returned by the server in real time.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Exercise] Integrating Spark Streaming with Spark SQL</p><p style='margin: 0'>We will integrate Spark Streaming with Spark SQL, allowing us to run SQL queries on data as it is streamed in! Again, we will use Apache logs as an example.</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to Structured Streaming</p><p style='margin: 0'>Spark 2.0 introduced experimental support for Structured Streaming, a new DataSet-based API for Spark Streaming that is bound to become increasingly important. Learn how it works.</p></td></tr><tr><td style='padding: 15px;'><p>5. [Activity] Analyzing Apache Log files with Structured Streaming</p><p style='margin: 0'>As an example, we will stream Apache access logs in from a directory and use Structured Streaming to count up status codes over a one-hour moving window.</p></td></tr></tbody></table><br><h4>6. Integrating with Other Systems</h4><p>In this section, we will examine how Spark Streaming can be integrated with other popular data science systems. We will see how it can work with Apache Kafka to listen to and process messages in real time; how Apache Flume can work with Spark Streaming to process huge amounts of log data; using Amazon Kinesis with Spark Streaming to process live data on an AWS/EC2 cluster; and using Cassandra to store massive datasets and analyze them at speed. We will also cover how to write your own Data Receiver class in order to connect Spark Streaming to other proprietary systems.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Integrating with Apache Kafka</p><p style='margin: 0'>Apache Kafka is a popular and robust technology for publishing messages across a cluster on a large scale. We will show how to get Spark Streaming to listen to Kafka topics and process them in real time.</p></td></tr><tr><td style='padding: 15px;'><p>2. Integrating with Apache Flume</p><p style='margin: 0'>Flume is a popular technology for publishing log information at large scale, especially on a Hadoop cluster. We will illustrate how to set up both push-based and pull-based Flume configurations with Spark Streaming and discuss the tradeoffs of each.</p></td></tr><tr><td style='padding: 15px;'><p>3. Integrating with Amazon Kinesis</p><p style='margin: 0'>Amazon's Kinesis Streaming service is basically Kafka on AWS. If you're working with an AWS/EC2 cluster, you will want to know how to integrate Spark Streaming with Kinesis - and that's what this lecture covers.</p></td></tr><tr><td style='padding: 15px;'><p>4. [Activity] Writing Custom Data Receivers</p><p style='margin: 0'>What if you need to integrate Spark Streaming with some proprietary system that does not have an existing connection library? Well, you can always write your own Receiver class. This example shows you how and actually lets you build and run one.</p></td></tr><tr><td style='padding: 15px;'><p>5. Integrating with Cassandra</p><p style='margin: 0'>Cassandra is a popular "NoSQL" database that can be used to provide fast access to massive data sets to real-time applications. Dumping data transformed by Spark Streaming into a Cassandra database can expose that data to your larger, real-time services. We will show you how, and actually run a simple example.</p></td></tr></tbody></table><br><h4>7. Advanced Spark Streaming Examples</h4><p>In this section, we will run through some more advanced real-world examples of Spark Streaming. We will examine tracking stateful information, machine learning with K-Means clustering, and feeding data into linear regression models.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Exercise] Stateful Information in Spark Streams</p><p style='margin: 0'>Spark has the ability to track arbitrary state across streams of data as they come in, such as web sessions, running totals and so on. This example shows you how it all works, and challenges you to track your own state using our example as a baseline.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Streaming K-Means Clustering</p><p style='margin: 0'>Spark Streaming integrates with some of Spark's MLLib (Machine Learning Library) capabilities. This example creates a real-time K-Means clustering example; it does unsupervised machine learning that continually gets better as more training data feeds into it.</p></td></tr><tr><td style='padding: 15px;'><p>3. [Activity] Streaming Linear Regression</p><p style='margin: 0'>Spark Streaming can also feed data in real-time to linear regression models, that get better over time as more data is fed into them. This example shows linear regression in action with Spark Streaming.</p></td></tr></tbody></table><br><h4>8. Spark Streaming in Production</h4><p>This section covers how to move your applications into a production environment, using the spark-submit command to process scripts from the command line. We will also look at packaging scripts and dependencies with SBT and running code on a real cluster with Amazon's Elastic MapReduce (EMR). Finally, we will troubleshoot some code. We will see what can go wrong, and how you can identify and debug issues and tune your Spark applications for peak performance.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Activity] Packaging and Running Spark Code in Production</p><p style='margin: 0'>Your production applications won't be run from within the Scala IDE; you will need to run them from a command line, and potentially on a cluster. The spark-submit command is used for this. We will show you how to package up your application and run it using spark-submit from a command prompt.</p></td></tr><tr><td style='padding: 15px;'><p>2. [Activity] Packaging Your Code with SBT</p><p style='margin: 0'>If your Spark Streaming application has external library dependencies that might not be already present on every machine in your cluster, the SBT tool can manage those dependencies for you, and package them into the JAR file you run with spark-submit. We will show you how it works with a real example.</p></td></tr><tr><td style='padding: 15px;'><p>3. Running on a Real Hadoop Cluster with EMR</p><p style='margin: 0'>We will run our simple word count example on a real cluster, using Amazon's Elastic MapReduce service! This just shows you what's involved in running a Spark Streaming job on a real cluster as opposed to your desktop; there are a few parameters to Spark-submit you need to worry about and getting your scripts and data in the right place is also something you need to deal with.</p></td></tr><tr><td style='padding: 15px;'><p>4. Troubleshooting and Tuning Spark Jobs</p><p style='margin: 0'>Spark jobs rarely run perfectly, if at all, on the first try - some tuning and debugging is usually required and arriving at the right scale of your cluster is also necessary. We will cover some performance tips, and how to troubleshoot what's going on with a Spark Streaming job running on a cluster.</p></td></tr></tbody></table><br><h4>9. You Made It!</h4><p>This final section runs through some recommendations on where to learn more about Spark Streaming.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning More</p><p style='margin: 0'>Want to learn more about Spark Streaming? Here are a few books and other resources I've found valuable.</p></td></tr></tbody></table>

Apache Spark

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

Streaming Big Data with Spark Streaming, Scala, and Spark 3!

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>Developers</p>Overview<p>The basics of and motivation for using the functional programming paradigmFeatures of the Scala languageWorking with variables in ScalaUsing Scala collectionsControlling code flow in ScalaImporting and using Scala code libraries</p><p>Scala training course will teach students the key language concepts and programming techniques, essential for students to focus on the covered subjects without having to also learn a complex programming language at the same time.</p></div><div id="course-pills-2"><h4>Scala Basics</h4><ul><li>Scala Background Information</li><li>Key Scala Concepts</li><li>Programming in Scala</li></ul><h4>Variables</h4><ul><li>Scala Variables</li><li>Numerical</li><li>Boolean</li><li>String</li></ul><h4>Collections</h4><ul><li>Tuples</li><li>The Collections Hierarchy</li><li>Sets</li><li>Lists</li><li>Arrays</li><li>Maps</li><li>Common Conversions</li></ul><h4>Flow Control</h4><ul><li>Looping</li><li>Iterators</li><li>Functions</li><li>Passing Functions</li><li>Collection Iteration Methods</li><li>Pattern Matching</li></ul><h4>Libraries</h4><ul><li>Classes and Objects</li><li>Packages</li><li>Import</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Just Enough Scala 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 Just Enough Scala 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)

Just Enough Scala

Data Processing

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

Apache Spark with Scala - Hands-On with Big Data!

<strong>This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.</strong>
        <p>Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at a massive scale. It has quickly become the largest open-source community in big data. So, mastering Apache Spark opens a wide range of professional opportunities.

This course starts with an introduction to Apache Spark where you see what Apache Spark is in brief. Then, you will be installing and using Apache Spark. After that, you will look at the Spark execution model and architecture in detail. Next, you will learn the Spark programming model and developer experience. Following that, you will look at the Spark Structured API foundation, and Spark data sources and sinks. Then, you will explore Spark Data frame and dataset transformations along with aggregations in Apache Spark. Finally, you will look at the Spark Data frame joins in detail.

By the end of this course, you will understand Spark programming and apply that knowledge to build data engineering solutions.

All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3</p>
        <h2>What You Will Learn</h2><p>Learn Apache Spark and Spark architecture<br>Look at data engineering and data processing in Spark<br>Work with data sources and sinks<br>Work with data frames, datasets, and Spark SQL<br>Use IntelliJ IDEA for Spark development and debugging<br>Understand unit testing, managing application logs, and cluster deployment</p>
        <h2>Audience</h2><p>This course is designed for software engineers willing to develop a data engineering pipeline and application using Apache Spark. It is also for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. It will also be beneficial for the managers and architects who do not directly work with Spark implementation, and still, they work with the people who implement Apache Spark at the ground level.<br><br>Before proceeding with the course, you will need basic knowledge of the Scala programming language.</p>
        <h2>Approach</h2><p>This is a hands-on and well-balanced course with theoretical and practical content. The course is example-driven and follows a working session-like approach. The author will be taking a live coding approach and explaining all the concepts needed along the way. The section will have a summary video at the end to revise the learned concepts.</p>
        <h2>Key Features</h2><p>A comprehensive course designed for the beginner-level for Spark programming in Scala * Deep dive into Spark 3 architecture and data engineering * Complete tested source code and examples used on Apache Spark 3.0.0 open-source distribution from the author's end</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Spark-Programming-in-Scala-for-Beginners-with-Apache-Spark-3</p>
        <h2>About the Author</h2><h3>Scholar Nest</h3><p>ScholarNest is a small team of people passionate about helping others learn and grow in their careers by bridging the gap between their existing and required skills.

Together, they have over 40+ years of experience in IT as a developer, architect, consultant, trainer, and mentor. They have worked with international software services organizations on various data-centric and Big Data projects.

It is a team of firm believers in lifelong continuous learning and skill development. To popularize the importance of continuous learning, they started publishing free training videos on their YouTube channel. They conceptualized the notion of continuous learning, creating a journal of our learning under the Learning Journal banner.</p>
        <h2>Course Outline</h2><h4>1. Apache Spark Introduction</h4><p></p><br><h4>2. Installing and Using Apache Spark</h4><p></p><br><h4>3. Spark Execution Model and Architecture</h4><p></p><br><h4>4. Spark Programming Model and Developer Experience</h4><p></p><br><h4>5. Spark Structured API Foundation</h4><p></p><br><h4>6. Spark Data Sources and Sinks</h4><p></p><br><h4>7. Spark Dataframe and Dataset Transformations</h4><p></p><br><h4>8. Aggregations in Apache Spark</h4><p></p><br><h4>9. Spark Dataframe Joins</h4><p></p><br><h4>10. Keep Learning</h4><p></p>

Hadoop

This course does not require any prior knowledge of Apache Spark or Hadoop. The author explains Spark architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

The course will help you understand Spark programming and apply that knowledge to build data engineering solutions.

Spark Programming in Scala for Beginners with Apache Spark 3

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala</h4><ul><li>Scala features and benefits</li><li>Comparing Scala with Java and other OO languages</li><li>Installing Scala and setting up the development environment</li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects</li><li>Traits, mixins, and inheritance</li><li>Companion objects and factories</li><li>Encapsulation and polymorphism</li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency</li><li>Higher-order functions and currying</li><li>Immutability and persistent data structures</li><li>Pattern matching and recursion</li></ul><h4>Having Fun with Functional Data Structures</h4><ul><li>Lists, sets, and maps in Scala</li><li>Folding and reducing operations</li><li>Stream processing and lazy evaluation For-comprehensions</li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework</li><li>Functional web routing and request handling</li><li>JSON handling with Play-JSON</li><li>Middleware and functional composition</li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library</li><li>Database configuration and setup</li><li>Querying and updating with Slick</li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components </h4><ul><li>Modular architecture and design patterns<br />Dependency injection with MacWire<br />Type classes and type-level programming<br />Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka</h4><ul><li>Introduction to Akka framework and Actor model</li><li>Actor systems and message passing</li><li>Futures and Promises</li><li>Supervision and fault tolerance</li><li></li></ul><h4>Building Confidence with Testing</h4><ul><li>Introduction to ScalaTest and ScalaCheck</li><li>Unit testing and property-based testing</li><li>Test-driven development in Scala</li><li>Mocking and integration testing</li><li></li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala</li><li>Using Java libraries in Scala projects</li><li>Converting Java collections to Scala collections</li><li>Writing Scala code that can be called from Java</li></ul><h4>Using Generative AI and GPT</h4><ul><li>Technologies in Scala Programming</li><li>Overview of GPT and generative AI</li><li>Integrating GPT with Scala applications</li><li>Use cases and practical examples</li></ul></div>

Programming Fundamentals

Programming Languages

Software Development

Fast Track to Scala Programming for OO / Java Developers (TTSCL2104)

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class.</p>Overview<p>Working in a hands-on learning environment led by our expert instructor you'll:<br />Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills.<br />Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write.<br />Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library.<br />Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance.<br />Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process.<br />Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions.<br />If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.</p><p>Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects.</p></div><div id="course-pills-2"><h4>Introduction to Scala </h4><ul><li>Scala features and benefits </li><li>Comparing Scala with Java and other OO languages </li><li>Installing Scala and setting up the development environment </li></ul><h4>Object-Oriented Programming in Scala</h4><ul><li>Classes and objects </li><li>Traits, mixins, and inheritance </li><li>Companion objects and factories </li><li>Encapsulation and polymorphism </li></ul><h4>Functional Programming Basics</h4><ul><li>Pure functions and referential transparency </li><li>Higher-order functions and currying </li><li>Immutability and persistent data structures </li><li>Pattern matching and recursion </li></ul><h4>Having Fun with Functional Data Structures </h4><ul><li>Lists, sets, and maps in Scala </li><li>Folding and reducing operations </li><li>Stream processing and lazy evaluation </li><li>For-comprehensions </li></ul><h4>Building Web Applications in Functional Style</h4><ul><li>Introduction to Play Framework </li><li>Functional web routing and request handling </li><li>JSON handling with Play-JSON Middleware and functional composition </li></ul><h4>Connecting to a Database</h4><ul><li>Introduction to Slick library </li><li>Database configuration and setup </li><li>Querying and updating with Slick </li><li>Transactions and error handling</li></ul><h4>Building Scalable and Extensible Components</h4><ul><li>Modular architecture and design patterns </li><li>Dependency injection with MacWire </li><li>Type classes and type-level programming </li><li>Implicit parameters and conversions</li></ul><h4>Concurrency Programming &amp; Akka </h4><ul><li>Introduction to Akka framework and Actor model </li><li>Actor systems and message passing </li><li>Futures and Promises </li><li>Supervision and fault tolerance </li></ul><h4>Building Confidence with Testing </h4><ul><li>Introduction to ScalaTest and ScalaCheck </li><li>Unit testing and property-based testing </li><li>Test-driven development in Scala </li><li>Mocking and integration testing</li></ul><h4>Interoperability between Scala and Java</h4><ul><li>Calling Java code from Scala </li><li>Using Java libraries in Scala projects </li><li>Converting Java collections to Scala collections </li><li>Writing Scala code that can be called from Java </li></ul><h4>Using Generative AI and GPT Technologies in Scala Programming</h4><ul><li>Overview of GPT and generative AI </li><li>Integrating GPT with Scala applications </li><li>Use cases and practical examples</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers  (TTSCL2104) 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>

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