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MS-20777
Implementing Microsoft Azure Cosmos DB Solutions

The course has been retired. See the current version of the course:

DP-420 - Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB

AUDIENCE
Data Professional
LEVEL

Introductory (100) – preliminary course, overview

Intermediate (200) – the course extends the knowledge from the level 100 with specific issues

Advanced (300) – the course extends the knowledge from the level 300 with specific issues

Expert (400) – the training course involves an expert level of knowledge and experience and provides an in-depth analysis of the issue

Intermediate
LENGTH
3 days
TRAINING METHOD
vILT

This three-day instructor-led course is aimed at database professionals who are looking to implement a Cosmos DB solution.

AUDIENCE PROFILE

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.

ACQUIRED SKILLS

After completing 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.

Module 1: Introduction to Azure Cosmos DB

  • 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

Module 2: Designing and Implementing SQL API Database Applications

  • 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

Module 3: Implementing Server Side Operations

  • 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

Module 4: Optimizing and monitoring performance

  • Optimizing database performance
  • Monitoring the performance of a database
  • Lab: Tuning a database and monitoring performance

Module 5: Designing and Implementing a Graph Database

  • Graph database models in Cosmos DB
  • Designing Graph database models for efficient operation
  • Lab: Designing and implementing a Graph database

Module 6: Querying and Analyzing Big Data with Cosmos DB

  • 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
  • Lab: Querying and Analyzing Big Data with Cosmos DB

Module 7: Implementing Stream Processing with Cosmos DB

  • Working with the Cosmos DB change feed
  • Integrating Cosmos DB into streaming solutions
  • Lab: Using Cosmos DB with stream processing
Detailed Agenda
A

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.

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