20777: Implementing Microsoft Azure Cosmos DB Solutions Training




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Course Description

Note: This course is retired, Please contact Microtek Learning Consultant or email us at info@microteklearning.com for assistance.

20777: Implementing Microsoft Azure Cosmos DB Solutions Training is developed to make familiarize with the Azure Cosmos DB, building and implementing SQL API database apps. This technical course teaches individuals to apply server-side operations, monitor, and optimize performance. It elaborates on designing and applying a graph database, and it also contains assessing big data, querying, and applying stream processes with Cosmos DB. Our Enterprise training program allows a team up-gradation with a skill set that leads to the firm's overall development. By the end of the course, trainees will learn to demonstrate the overall structure and purpose of Azure Cosmos DB. It helps them create user-defined functions, triggers, and stored procedures. This training program is best for database architects and developers who plan to apply big data solutions on Azure using Cosmos DB.

This training is designed based on the objectives of the course variant 20777A

Who should attend this course?

This training is designed for database professionals, including database architects and developers, information workers, and IT professionals who want to learn how to use Cosmos DB to implement big data solutions on Azure.


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For dates, times, and location customization of this course, get in touch with us.

You can also speak with a learning consultant by calling 800-961-0337.

What you will learn

  • Learning about the architecture and purpose of Azure Cosmos DB.
  • Monitoring performance and tuning a database.
  • Designing collections and documents to meet business requirements and learning how to create applications that utilize these documents using SQL API.
  • Creating triggers, stored procedures, and user-defined functions.
  • Using Power BI, Azure Databricks, HDInsight, and Azure Search with Cosmos DB to analyze and query big data.
  • Learning how to stream data using Cosmos DB as both a sink and source.
  • Describing how to use Cosmos DB to create efficient Graph database models.

With Microtek Learning, you’ll receive:

  • Certified Instructor-led training
  • Industry Best Trainers
  • Official Training Course Student Handbook
  • Pre and Post assessments/evaluations
  • Collaboration with classmates (not available for a self-paced course)
  • Real-world knowledge activities and scenarios
  • Exam scheduling support*
  • Learn and earn program*
  • Practice Tests
  • Knowledge acquisition and exam-oriented
  • Interactive online course.
  • Support from an approved expert
  • For Government and Private pricing*

* For more details call: +1-800-961-0337 or Email: info@microteklearning.com

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Describe the purpose and architecture of 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

  • 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.
  • 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.

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

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

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

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

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

  • 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.


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    Course Details

    • Duration: 3 Days
    • Skill Level: Intermediate
    • Enrolled: 1683
    • Price: $1725
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