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 Duration 35 hours

Course Outline

Introduction to Azure Data Services

  • Overview of Azure data services
  • Components and features of the Azure data platform
  • Implementing Azure data solutions

Processing Data with Azure Data Factory

  • Foundations of Azure Data Factory
  • Designing and deploying data pipelines
  • Administering and monitoring pipeline performance
  • Ensuring security and compliance in Data Factory

Streaming Data with Azure Stream Analytics

  • Introduction to Azure Stream Analytics
  • Setting up and configuring input and output streams
  • Executing data queries using Stream Analytics
  • Managing errors and system scaling

Working with Big Data using Azure Databricks

  • Getting started with Azure Databricks
  • Building and configuring Databricks workspaces
  • Developing and executing Databricks notebooks
  • Runtime configuration and performance optimization

Storing Data with Azure Cosmos DB

  • Overview of Azure Cosmos DB
  • Creating and managing Cosmos DB accounts
  • Leveraging Cosmos DB APIs
  • Operations and monitoring of Cosmos DB

Summary and Exam Preparation

  • Consolidation of key concepts
  • Strategic tips for exam success
  • Simulation of the practical exam

Please note: The sequence of topics may shift, and supplementary content may be included at the discretion of the course instructor.

Requirements

  • A solid grasp of core data concepts, along with practical experience using data technologies such as databases, data warehouses, and data processing tools.
  • Knowledge of basic programming principles, with specific experience in SQL and Python, is advised.

Target Audience

  • Data engineers
  • Database developers
  • Business intelligence specialists
  • Professionals aiming to master Azure data services and pass the DP-203 exam

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