Microsoft Azure Big Data Analytics Solutions



55224A-1 is a two-day instructor-led course is intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure.� Students will learn how to design solutions for batch and real-time data processing.� Different methods of using Azure will be discussed and practiced in lab exercises, such Azure CLI, Azure PowerShell and Azure Portal.� 55224A-1 labs and exercises cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive & real-time solutions).� The other two objectives (Designing Machine Learning and cloud analytics solutions) are covered in 55224A-2.


This course is intended for experienced data professionals who design big data analytics solutions on Microsoft Azure.


  • Experience processing and querying bulk data
  • Experience analyzing real-time and historical data
  • Experience using SQL and data analysis / visualization tools (e.g. Power BI)
  • Experience using PowerShell (Note: A basic PowerShell tutorial is included in the course.)

Learning Objectives

  • Design big data batch processing and interactive solutions�� �(55224A-1)
  • Design big data real-time processing solutions���(55224A-1)
  • Design Machine Learning solutions����(55224A-2)
  • Operationalize end-to-end cloud analytics solutions��(55224A-2)

Module 1: Design big data batch processing and interactive solutions (Covered in 55224A-1)

  • Ingest data for batch processing
  • Design for batch processing
  • Design interactive queries
  • Review

Module 2: Design big data real-time processing solutions (Covered in 55224A-1)

  • Ingest data for real-time processing
  • Design for real-time processing
  • Design interactive queries for big data
  • Review

Module 3: Design Machine Learning solutions (Covered in 55224A-2)

  • Create workspaces
  • Select models and query parameters
  • Publish web services
  • Review

Module 4: Operationalize end-to-end cloud analytics solutions (Covered in 55224A-2)

  • Create a data factory
  • Manage and Monitor the data factory
  • Deploy end-to-end solutions using PowerShell
  • Review