Implementing Microsoft Azure Cosmos DB Solutions (20777)

Implementing Microsoft Azure Course Outline

• Module 1: Introduction to Azure Cosmos DB

  Describe the purpose and architecture of Cosmos DB.

  Lessons

  • Review of NoSQL database structures
  • Migrating data and applications to Cosmos DB
  • Managing data in Cosmos DB

  Lab : Creating and using a SQL API database in Cosmos DB

  • Creating and configuring a Cosmos DB database
  • Migrating data from a Mongo DB database to Cosmos DB
  • Using the SQL API to access data
  • Protecting data in a Cosmos DB database

  After completing this module, students will be able to:

  • Create and configure a Cosmos DB.
  • Migrate data from a Mongo DB database to a Cosmos DB database.
  • Describe accessing data using the SQL API.
  • Describe how to protect data in a Cosmos DB.

• Module 2: Designing and Implementing SQL API Database Applications

  This module describes how to design documents and collections to meet business requirements, and how to use the SQL API to build applications that use these documents.

  Lessons

  • Document models in Cosmos DB
  • Querying data in a SQL API database
  • Querying and maintaining data programmatically

  Lab : Designing and implementing SQL API database applications

  • Design the document structure & partitioning strategy for the product catalogue for the retail system
  • Importing product catalogue data
  • Querying product catalogue information
  • Maintaining stock levels in the product catalogue

  After completing this module, students will be able to:

  • Design NoSQL document structures that support business requirements and enable efficient operations.
  • Describe how to perform SQL queries against a SQL API database.
  • Explain how to insert, modify, delete, and query data in a SQL API database programmatically.

• Module 3: Implementing Server Side Operations

  Describe how to create user-defined functions, stored procedures, and triggers.

  Lessons

  • Server-side programming with Cosmos DB
  • Creating and using stored procedures
  • Using triggers to maintain data integrity

  Lab : Writing user-defined functions, stored procedures and triggers

  • Design and implement the document and collection structure
  • Implement the shopping cart functionality in the online retail system.
  • Extend the online retail system to create orders from the items in a shopping cart.
  • Extend the online retail system further to enable customers to view orders and backorders.

  After completing this module, students will be able to:

  • Describe how Cosmos DB enables you to implement server-side operations by writing JavaScript code.
  • Describe how use the JavaScript Query API to implement transactional operations with stored procedures.
  • Describe how use create triggers that you can use to maintain integrity when inserting, updating, and deleting documents.

• Module 4: Optimising and monitoring performance

  Describe how to optimise a database, and how to monitor performance.

  Lessons

  • Optimising database performance
  • Monitoring the performance of a database

  Lab : Tuning a database and monitoring performance

  • Gathering execution statistics
  • Examining how the different consistency models can impact throughput and latency
  • Investigate the effects of triggers on performance
  • Monitoring performance and tuning the partition key

  After completing this module, students will be able to:

  • Describe how to tune the configuration of a database and collections for best performance.
  • Describe how to assess the performance of a document database and identify options for improving throughput.

• Module 5: Designing and Implementing a Graph Database

  This module describes how to create efficient graph database models using Cosmos DB.

  Lessons

  • Graph database models in Cosmos DB
  • Designing Graph database models for efficient operation

  Lab : Designing and implementing a Graph database

  • Implementing a recommendations engine for customers
  • Recording product purchase information
  • Query a Graph database to obtain analytics

  After completing this module, students will be able to:

  • Describe the features that Cosmos DB provides for implementing graph databases.
  • Design NoSQL graph structures that support business requirements and enable efficient operations.

• Module 6: Querying and Analysing Big Data with Cosmos DB

  This module describes how to use Azure Search and HDInsight with Cosmos DB to query and analyse big data.

  Lessons

  • Integrating Cosmos DB with Azure search to optimise queries
  • Analysing data in a Cosmos DB database using Apache Spark
  • Visualising data in a Cosmos DB database

  Lab : Querying and Analysing Big Data with Cosmos DB

  • Extending product search capabilities
  • Performing end-of-month processing
  • Visualising sales data
  • Exploring sales data

  At the end of this module, students will be able to:

  • Describe how to integrate Cosmos DB with Azure Search to perform efficient query processing over big data.
  • Describe how to analyse big data held in Cosmos DB using Apache Spark.
  • Describe how to visualise data in Cosmos DB using Jupyter notebooks, Power BI, and Azure Databricks.

• Module 7: Implementing Stream Processing with Cosmos DB

  This module describes how to use Cosmos DB as a source and sink for streaming data.

  Lessons

  • Working with the Cosmos DB change feed
  • Integrating Cosmos DB into streaming solutions

  Lab : Using Cosmos DB with stream processing

  • Handling orders
  • Maintaining stock analytic data
  • Displaying rolling revenue for a given time period

  After completing this module, students will be able to:

  • Describe the Cosmos DB change feed, and how to use it to process data efficiently.
  • Explain how to incorporate Cosmos DB into streaming solutions such as Apache Kafka, Apache Spark, and Azure Stream Analytics.