Implementing Microsoft Azure Cosmos DB Solutions – 20777

Description

Duration: 3 days

During this three-day boot camp, lessons are directed toward learning how to implement a Cosmos DB solution.

Student that would be interested in this course currently possess knowledge experience or certifications in database developing and architecting and intend to implement big data solutions on Azure using Cosmos DB.

 

It is recommended that student interested in this boot camp have previous knowledge and experience in

  • 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

Upon completion of this boot camp, 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

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

 

Module 2: Designing and Implementing SQL API Database Applications

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 catalog for the retail system
  • Importing product catalog data
  • Querying product catalog information
  • Maintaining stock levels in the product catalog

 

Module 3: Implementing Server Side Operations

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

 

Module 4: Optimizing and monitoring performance

Lessons

  • Optimizing 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

 

Module 5: Designing and implementing a Graph Database

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

 

Module 6: Querying and Analyzing Big Data with Cosmos DB

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

Lab: Querying and Analyzing Big Data with Cosmos DB

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

 

Module 7: Implementing Stream Processing with Cosmos DB

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