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 Duration 35 hours

Course Outline

Overview of Azure Data Services

  • Broad perspective on Azure data services
  • Essential components and features of the Azure data platform
  • Implementing Azure data solutions

Data Processing via Azure Data Factory

  • Fundamentals of Azure Data Factory
  • Construction and deployment of data pipelines
  • Oversight and monitoring of pipeline operations
  • Ensuring security and compliance in Data Factory

Real-Time Data Streaming with Azure Stream Analytics

  • Introduction to the capabilities of Azure Stream Analytics
  • Setup and configuration of input and output streams
  • Data querying techniques within Stream Analytics
  • Error management and scalability strategies

Big Data Management using Azure Databricks

  • Getting started with Azure Databricks
  • Establishing and setting up Databricks workspaces
  • Development and execution of Databricks notebooks
  • Optimizing runtime configurations and performance tuning

Data Storage with Azure Cosmos DB

  • Introduction to Azure Cosmos DB
  • Creation and configuration of Cosmos DB accounts
  • Leveraging Cosmos DB APIs
  • Administration and performance monitoring of Cosmos DB

Conclusion and Exam Readiness

  • Recap of critical concepts
  • Strategies and tips for effective exam preparation
  • Interactive practice examination

Note: The sequence of topics may be adjusted, and additional subjects might be addressed at the discretion of the course instructor.

Requirements

  • A solid grasp of core data concepts, alongside practical experience with data technologies including databases, data warehouses, and processing frameworks.
  • Knowledge of fundamental programming principles, with proficiency in SQL and Python being highly advisable.

Intended Audience

  • Data engineers
  • Database developers
  • Business intelligence specialists
  • Professionals seeking to master Azure data services and prepare for the DP-203 certification

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