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Description
- Module 1: Learn how to create an Azure Cosmos DB account, database, and container built to scale as your application grows.
In this module, you will:
- Create a NoSQL database with Azure Cosmos DB
- Set the initial throughput volume for your database using request units
- Choose a partition key
- Create a database and container in Azure Cosmos DB
- Module 2: Compare the different APIs that are available in Azure Cosmos DB, highlighting and contrasting the different scenarios that would make them a good choice for a company.
At the end of this module, you will be able to:
- Explain the features of Core (SQL)
- Explain the features of MongoDB
- Explain the features of the Cassandra
- Explain the features of the Azure Table
- Explain the features of the Gremlin (graph)
- Choose the appropriate API for your Azure Cosmos DB account
- Module 3: Discover the Azure Cosmos DB Data Explorer tool that enables you to add or modify data. Create stored procedures in JavaScript.
In this module, you will:
- Create product catalog documents in the Data Explorer
- Perform Azure Cosmos DB queries
- Create and run operations on your documents by using stored procedures
- Module 4: Find out about creating an application with Azure Cosmos DB as a graph database, then retrieve, manipulate, and visualize graph data using Data Explorer.
In this module, you will:
- Determine if a graph database fits the data needs of your application
- Store data in a graph database from an application using the Gremlin API
- Query data in a graph database from an application using the Gremlin API
- Module 5: By using the Azure Cosmos DB Table API, you will benefit from the low latency, high availability, and scalability of Azure Cosmos DB in a Table storage application.
At the end of this module, you will be able to:
- Describe the advantages of Table Storage and Azure Cosmos DB
- Modify an existing Table API application to use Azure Cosmos DB
- Module 6: Learn how to create a .NET Core application to store and query data in Azure Cosmos DB by using Visual Studio Code.
In this module, you will:
- Create an application to store and query data in Azure Cosmos DB
- Use the Integrated Terminal in Visual Studio Code to quickly create a console application
- Add Azure Cosmos DB functionality with the help of the Azure Cosmos DB extension for Visual Studio Code
- Module 7: Learn how to measure the performance of your NoSQL Azure Cosmos DB database, by monitoring, partitioning, and indexing
In this module, you will:
- Measure the throughput of your Azure Cosmos DB database.
- Identify a partition strategy for your Azure Cosmos DB data.
- Measure the impact of different indexing strategies.
- Module 8: Discover the benefits of writing and replicating customized data to regions around the world with Azure Cosmos DB global distribution.
In this module, you will:
- Learn about the benefits of writing and replicating data to multiple regions around the world
- Change the read and write priorities for the regions in which your data is located
- Change the consistency setting for your database
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TypeOnline Courses
-
ProviderMicrosoft Learn
-
PricingFree
-
Duration6-7 hours
- Module 1: Learn how to create an Azure Cosmos DB account, database, and container built to scale as your application grows.
In this module, you will:
- Create a NoSQL database with Azure Cosmos DB
- Set the initial throughput volume for your database using request units
- Choose a partition key
- Create a database and container in Azure Cosmos DB
- Module 2: Compare the different APIs that are available in Azure Cosmos DB, highlighting and contrasting the different scenarios that would make them a good choice for a company.
At the end of this module, you will be able to:
- Explain the features of Core (SQL)
- Explain the features of MongoDB
- Explain the features of the Cassandra
- Explain the features of the Azure Table
- Explain the features of the Gremlin (graph)
- Choose the appropriate API for your Azure Cosmos DB account
- Module 3: Discover the Azure Cosmos DB Data Explorer tool that enables you to add or modify data. Create stored procedures in JavaScript.
In this module, you will:
- Create product catalog documents in the Data Explorer
- Perform Azure Cosmos DB queries
- Create and run operations on your documents by using stored procedures
- Module 4: Find out about creating an application with Azure Cosmos DB as a graph database, then retrieve, manipulate, and visualize graph data using Data Explorer.
In this module, you will:
- Determine if a graph database fits the data needs of your application
- Store data in a graph database from an application using the Gremlin API
- Query data in a graph database from an application using the Gremlin API
- Module 5: By using the Azure Cosmos DB Table API, you will benefit from the low latency, high availability, and scalability of Azure Cosmos DB in a Table storage application.
At the end of this module, you will be able to:
- Describe the advantages of Table Storage and Azure Cosmos DB
- Modify an existing Table API application to use Azure Cosmos DB
- Module 6: Learn how to create a .NET Core application to store and query data in Azure Cosmos DB by using Visual Studio Code.
In this module, you will:
- Create an application to store and query data in Azure Cosmos DB
- Use the Integrated Terminal in Visual Studio Code to quickly create a console application
- Add Azure Cosmos DB functionality with the help of the Azure Cosmos DB extension for Visual Studio Code
- Module 7: Learn how to measure the performance of your NoSQL Azure Cosmos DB database, by monitoring, partitioning, and indexing
In this module, you will:
- Measure the throughput of your Azure Cosmos DB database.
- Identify a partition strategy for your Azure Cosmos DB data.
- Measure the impact of different indexing strategies.
- Module 8: Discover the benefits of writing and replicating customized data to regions around the world with Azure Cosmos DB global distribution.
In this module, you will:
- Learn about the benefits of writing and replicating data to multiple regions around the world
- Change the read and write priorities for the regions in which your data is located
- Change the consistency setting for your database
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