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Course Outline

Overview of Azure Data Services

  • Survey of Azure data services
  • Components and capabilities of the Azure data platform
  • Azure data solutions for federal environments

Data Processing with Azure Data Factory

  • Overview of Azure Data Factory
  • Development and deployment of data pipelines
  • Oversight and monitoring of data pipelines
  • Security and compliance measures in Data Factory

Data Streaming with Azure Stream Analytics

  • Overview of Azure Stream Analytics
  • Configuration of input and output data sources
  • Data querying via Stream Analytics
  • Error handling and system scaling

Big Data Management with Azure Databricks

  • Overview of Azure Databricks
  • Setup and configuration of Databricks workspaces
  • Development and execution of Databricks notebooks
  • Runtime configuration and performance optimization

Data Storage with Azure Cosmos DB

  • Overview of Azure Cosmos DB
  • Creation and configuration of Cosmos DB accounts
  • Utilization of Cosmos DB APIs
  • Oversight and monitoring of Cosmos DB resources

Summary and Examination Preparation

  • Review of core concepts
  • Strategies and tips for examination readiness
  • Practical examination simulation

Note: The sequence of topics is subject to change, and additional content may be included at the discretion of the course instructor.

Requirements

  • A foundational grasp of data principles alongside practical experience utilizing data technologies, including databases, data warehouses, and data processing systems.
  • Knowledge of core programming concepts and proficiency in SQL and Python are recommended prerequisites.

Target Audience

  • Data engineers
  • Database developers
  • Business intelligence specialists
  • Professionals seeking to understand Azure data services and prepare for the DP-203 certification exam, specifically those pursuing credentials for government roles.
 35 Hours

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