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 Duration 35 hours

Course Outline

Introduction to Azure Data Services

  • Overview of Azure data services
  • Components and capabilities of the Azure data platform
  • Implementation of Azure data solutions

Data Processing with Azure Data Factory

  • Fundamentals of Azure Data Factory
  • Design, creation, and deployment of data pipelines
  • Administrative management and pipeline monitoring
  • Security protocols and compliance standards for Data Factory

Data Streaming with Azure Stream Analytics

  • Overview of Azure Stream Analytics
  • Configuration of input and output endpoints
  • Data querying capabilities within Stream Analytics
  • Error handling mechanisms and system scaling

Big Data Operations using Azure Databricks

  • Introduction to Azure Databricks
  • Provisioning and configuration of Databricks workspaces
  • Development and execution of Databricks notebooks
  • Runtime optimization and performance tuning

Data Persistence with Azure Cosmos DB

  • Overview of Azure Cosmos DB
  • Account setup and configuration for Cosmos DB
  • Utilization of Cosmos DB APIs
  • Ongoing administration and performance monitoring

Concluding Review and Exam Preparation

  • Assessment of critical concepts
  • Strategies and best practices for DP-203 preparation
  • Practical application of practice examinations

Note: The sequence of instructional topics is subject to modification, and additional subjects may be included at the discretion of the course instructor for government audiences.

Requirements

  • A foundational grasp of data principles and practical experience with data infrastructure, including databases, data warehouses, and processing frameworks.
  • Proficiency in basic programming logic, with specific experience in SQL and Python, is advised for optimal comprehension.

Target Audience

  • Data engineers
  • Database developers
  • Business intelligence specialists
  • Professionals seeking to acquire Azure data service competencies and certify for the DP-203 examination

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