Course #:20777

Implementing Microsoft Azure Cosmos DB Solutions Training

This course is aimed at database professionals who are looking to implement a Cosmos DB solution.

Objectives

By the end of this course, students will be able to:

  • Describe the purpose and architecture of Azure Cosmos DB.
  • Describe how to design documents and collections to meet business requirements, and how to use the SQL API to build applications that use these documents.
  • Describe how to create user-defined functions, stored procedures, and triggers.
  • Describe how to tune a database, and how to monitor performance.
  • Describe how to create efficient Graph database models using Cosmos DB.
  • Describe how to use Azure Search, HDInsight, Azure Databricks, and Power BI with Cosmos DB to query and analyze big data.
  • Describe how to use Cosmos DB as a source and sink for streaming data.

Audience

The primary audience for this course is database developers and architects (IT professionals, developers, and information workers) who plan to implement big data solutions on Azure using Cosmos DB.

Prerequisites

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • The fundamental concepts of partitioning, replication, and resource governance for building and configuring scalable applications that are agnostic of a Cosmos DB API. 
  • A basic working knowledge of the Cosmos DB SQL API.

Duration

Three Days

Outline of Implementing Microsoft Azure Cosmos DB Solutions Training

Chapter 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

 

Chapter 2: Designing and Implementing SQL API Database Applications

This Chapter 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

 

Chapter 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

 

Chapter 4: Optimizing and monitoring performance

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


Lessons

  • Optimizing database performance
  • Monitoring the performance of a database

 

Chapter 5: Designing and Implementing a Graph Database

This Chapter 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

 

Chapter 6: Querying and Analyzing Big Data with Cosmos DB

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


Lessons

  • Integrating Cosmos DB with Azure search to optimize queries
  • Analyzing data in a Cosmos DB database using Apache Spark
  • Visualizing data in a Cosmos DB database

 

Chapter 7: Implementing Stream Processing with Cosmos DB

This Chapter 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
We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC.