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Overview

This course teaches developers to utilize Azure Cosmos DB for NoSQL API and SDK. Students will learn query execution, resource configuration, SDK operations, and design strategies for non-relational data modeling and data partitioning.
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What You'll Learn

  • Evaluate whether Azure Cosmos DB for NoSQL is the right database for your application.
  • Describe how the features of the Azure Cosmos DB for NoSQL are appropriate for modern applications.
  • Create a new Azure Cosmos DB for NoSQL account
  • Create database, container, and item resources for an Azure Cosmos DB for NoSQL account
  • Evaluate various requirements of your application
  • Compare the various service and throughput offerings for Azure Cosmos DB
  • Migrate between standard and autoscale throughput
  • Integrate the Microsoft.Azure.Cosmos SDK library from NuGet
  • Connect to an Azure Cosmos DB for NoSQL account using the SDK and .NET
  • Configure the SDK for offline development
  • Troubleshoot common connection errors
  • Implement parallelism in the SDK
  • Configure logging using the SDK
  • Perform CRUD operations using the SDK
  • Configure TTL for a specific item
  • Create and execute a SQL query
  • Project query results
  • Use built-in functions in a query
  • Implement a correlated subquery
  • Create a cross-product query
  • Determine access patterns for data.
  • Apply data model and partitioning strategies to support an efficient and scalable NoSQL database.
  • Manage relationships between data entities by using advanced modeling and partitioning strategies.
  • Maintain the referential integrity of your data by using change feed.
  • Implement pre-aggregating and denormalizing data strategies to improve data-model performance and scaling.
  • Optimizing storage and compute by mixing entity types in a single container

Who Should Attend

Software engineers tasked with authoring cloud-native solutions that leverage Azure Cosmos DB for NoSQL and its various SDKs. They are familiar with C# programming. They also have experience writing code that interacts with a SQL or NoSQL database platform.
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Prerequisites

Please review the prerequisites listed for each module in the course content and click on the provided links for more information.

Learning Journey

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1. Introduction to Azure Cosmos DB for NoSQL

Learn about the Azure Cosmos DB for NoSQL and determine if it is a good fit for your application.

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2. Try Azure Cosmos DB for NoSQL

Learn how to use the Azure Cosmos DB for NoSQL to create an account, and then use the account to create Cosmos DB resources.

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3. Plan Resource Requirements

Familiarize yourself with the various configuration options for a new Azure Cosmos DB for NoSQL account.

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4. Configure Azure Cosmos DB for NoSQL database and containers

Select between the various throughput offerings in Azure Cosmos DB for NoSQL.

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5. Use the Azure Cosmos DB for NoSQL SDK

Learn about the Microsoft.Azure.Cosmos library, and then download the library to use in a .NET application.

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6. Configure the Azure Cosmos DB for NoSQL SDK

Learn how to configure the Azure Cosmos DB for NoSQL SDK in various ways including how to integrate with the emulator, implement parallelism, and create a custom logger.

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7. Implement Azure Cosmos DB for NoSQL point operations

Write code to create, read, update, and delete items in Azure Cosmos DB for NoSQL.

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8. Query the Azure Cosmos DB for NoSQL

Author queries for Azure Cosmos DB for NoSQL using the SQL query language.

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9. Author complex queries with the Azure Cosmos DB for NoSQL

Create SQL queries for Azure Cosmos DB for NoSQL that uses subqueries or cross-products.

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10. Implement a non-relational data model

Identify an application’s key access patterns. Define the entities’ data model, along with containers to store the data with a partition key that will result in an efficient and scalable data store for the application.

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11. Design a data partitioning strategy

Identify strategies for managing relationships between data entities, such as customers and sales data. Improve data-model performance and scaling by pre-aggregating and denormalizing your data. Use change-feed to maintain your data's referential integrity.

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Instructors

Scott Duffy

Bestselling Azure & TOGAF® Trainer, Microsoft Azure MVP

4.8 (4.1k)
|
10 Courses
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Scott Duffy

Bestselling Azure & TOGAF® Trainer, Microsoft Azure MVP

4.8 (4.1k)
|
10 Courses
profile-instructor-a.png

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