Course Outline

Introduction to Azure Data Services

  • Azure data services overview
  • Azure data platform components and features
  • Azure data solutions

Processing Data with Azure Data Factory

  • Introduction to Azure Data Factory
  • Creating and deploying data pipelines
  • Managing and monitoring data pipelines
  • Data Factory security and compliance

Streaming Data with Azure Stream Analytics

  • Introduction to Azure Stream Analytics
  • Creating and configuring input and output sources
  • Querying data with Stream Analytics
  • Handling errors and scaling

Working with Big Data using Azure Databricks

  • Introduction to Azure Databricks
  • Creating and configuring Databricks workspaces
  • Creating and running Databricks notebooks
  • Databricks runtime configuration and performance tuning

Storing Data with Azure Cosmos DB

  • Introduction to Azure Cosmos DB
  • Creating and configuring Cosmos DB accounts
  • Using Cosmos DB APIs
  • Managing and monitoring Cosmos DB

Summary and Exam Preparation

  • Review of key concepts
  • Exam preparation tips and strategies
  • Hands-on practice exam

Note: The order of the topics may vary and some additional topics may be covered based on the course instructor's discretion.

Requirements

  • A fundamental understanding of data concepts and experience working with data technologies such as databases, data warehouses, and data processing.
  • Familiarity with basic programming concepts and experience with SQL and Python is recommended.

Audience

  • Data engineers
  • Database developers
  • Business intelligence professionals
  • Anyone who wants to learn about Azure data services and prepare for the DP-203 exam
  35 Hours
 

Testimonials

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