Implementing Microsoft Azure Cosmos DB Solutions

Session Detail:    Virtual 3 Day

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

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.

Who Can Benefit

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.

Session Outline

Class Outline

Module 1: Introduction to Azure Cosmos DB

  • Lesson 1: Review of NoSQL database structures
  • Lesson 2: Migrating data and applications to Cosmos DB
  • Lesson 3: Managing data in Cosmos DB

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

  • Lesson 1: Document models in Cosmos DB
  • Lesson 2: Querying data in a SQL API database
  • Lesson 3: Querying and maintaining data programmatically

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

  • Lesson 1: Server-side programming with Cosmos DB
  • Lesson 2: Creating and using stored procedures
  • Lesson 3: Using triggers to maintain data integrity

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: Optimizing and monitoring performance

  • Lesson 1: Optimizing database performance
  • Lesson 2: Monitoring the performance of a database

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

  • Lesson 1: Graph database models in Cosmos DB
  • Lesson 2: Designing Graph database models for efficient operation

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 Analyzing Big Data with Cosmos DB

  • Lesson 1: Integrating Cosmos DB with Azure search to optimize queries
  • Lesson 2: Analyzing data in a Cosmos DB database using Apache Spark
  • Lesson 3: Visualizing data in a Cosmos DB database

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 analyze big data held in Cosmos DB using Apache Spark
  • Describe how to visualize data in Cosmos DB using Jupyter notebooks, Power BI, and Azure Databricks

Module 7: Implementing Stream Processing with Cosmos DB

  • Lesson 1: Working with the Cosmos DB change feed
  • Lesson 2: Integrating Cosmos DB into streaming solutions

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

Need to train your team?

All of our sessions can be customized to meet your team’s specific need. Build the perfect program by picking and choosing topics from any of the courses in our catalog. A personalized private session gives you the ultimate flexibility and helps maximize your team’s valuable time!

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Implementing Microsoft Azure Cosmos DB Solutions

3 Day
Virtual

$2,295.00

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