Name: MongoDB Tutorial for Beginners (2022)
Price: 41.99 GBP
Availability: InStock

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

Nexus Human

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AWS Certified Solutions Architect

AZ-204T00 Developing Solutions for Microsoft Azure

General Admission

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

Powerbi

Business Analytics & Intelligence

Microsoft Power BI

Microsoft Power Platform

Microsoft BI

Data Analyst

PL-300T00 Microsoft Power BI Data Analyst

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			<h2><b>Course Overview</b></h2>		</div>
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					<div><p><span>The<strong> SQL, NoSQL, Big Data and Hadoop Level 4</strong> course is designed to provide aspiring data engineers with the skills to fast track their career. It will introduce you to key database and data engineering concepts, taking you through the different classifications of databases and software. You will learn how to build a data-driven organisation step-by-step, best practices for data analysis, how to use Elasticsearch as a search engine, and much more.</span></p><p><span>This course is open to everyone and can be studied on a part-time or full-time basis. It is ideal for anyone looking to work in this field or gain a better understanding of Hadoop from a database perspective. Fast track your career by enrolling today and learn tips and shortcuts from experienced industry professionals.</span></p></div>
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					<div><p>This best selling <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> SQL, NoSQL, Big Data and Hadoop Level 4</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>SQL, NoSQL, Big Data and Hadoop Level 4 </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

SQL, NoSQL, Big Data and Hadoop Level 4

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					<div><p>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Sql Nosql Big Data and Hadoop All in One Course has been specially designed to help learners gain a good command of Sql Nosql Big Data and Hadoop All in One Course, providing them with a solid foundation of knowledge to become a qualified professional.</p><p>Through this Sql Nosql Big Data and Hadoop All in One Course, you will gain both practical and theoretical understanding of Sql Nosql Big Data and Hadoop All in One Course that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</p><p>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</p></div>
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										<span>Get help from our expert tutors anytime you need</span>
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										<span>Access to course contents that are designed and prepared by industry professionals</span>
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										<span>Study at your convenient time and from wherever you want</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>You will receive a completion certificate upon completing the course.</span>
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										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
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										<span>You will be able to incorporate various techniques successfully and understand your customers better.</span>
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Skill Up

Learning & Development

Online Course Creation

Trainers Course

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

Sql Nosql Big Data and Hadoop All in One Course

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

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

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

Packt

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

Managed NoSQL Database In The Cloud - Amazon AWS DynamoDB

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

Apex Learning

Computing Skills

Data Engineering

Hadoop

AWS Certified Database

Data Skills

SQL NoSQL Big Data and Hadoop

Janets

Online Course Marketing

Microsoft SQL

NoSQL

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

Azure Cosmos DB

Data Migration

DP-060T00 Migrate NoSQL workloads to Azure Cosmos DB

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

AWS Certification

AWS Certified Developer

AWS Certified Cloud Practitioner

AWS (Amazon Web Services)

AWS Technical Essentials

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

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

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

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

Database Programming

Database

MongoDB

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

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packt

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