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Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI (DP-500)

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Em pré-inscrição. Entre em contacto para obter mais informações.

Nível Intermédio | 28 Horas | Laboral: 4 dias

Oferta do exame de certificação.


This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.


Candidates for this course should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions. Specifically, candidates should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX). They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.


Before attending this course, it is recommended that students have:

  • A foundational knowledge of core data concepts and how they’re implemented using Azure data services. For more information see Azure Data Fundamentals.
  • Experience designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value using Microsoft Power BI. For more information see Power BI Data Analyst.


  1. Explore Azure data services for modern analytics
  2. Understand concepts of data analytics
  3. Explore data analytics at scale
  4. Introduction to Microsoft Purview
  5. Discover trusted data using Microsoft Purview
  6. Catalog data artifacts by using Microsoft Purview
  7. Manage Power BI assets by using Microsoft Purview
  8. Integrate Microsoft Purview and Azure Synapse Analytics
  9. Introduction to Azure Synapse Analytics
  10. Use Azure Synapse serverless SQL pool to query files in a data lake
  11. Analyze data with Apache Spark in Azure Synapse Analytics
  12. Analyze data in a relational data warehouse
  13. Choose a Power BI model framework
  14. Understand scalability in Power BI
  15. Create and manage scalable Power BI dataflows
  16. Create Power BI model relationships
  17. Use DAX time intelligence functions in Power BI Desktop models
  18. Create calculation groups
  19. Enforce Power BI model security
  20. Use tools to optimize Power BI performance
  21. Understand advanced data visualization concepts
  22. Monitor data in real-time with Power BI
  23. Create paginated reports
  24. Provide governance in a Power BI environment
  25. Facilitate collaboration and sharing in Power BI
  26. Monitor and audit usage
  27. Provision Premium capacity in Power BI
  28. Establish a data access infrastructure in Power BI
  29. Broaden the reach of Power BI
  30. Automate Power BI administration
  31. Build reports using Power BI within Azure Synapse Analytics
  32. Design a Power BI application lifecycle management strategy
  33. Create and manage a Power BI deployment pipeline
  34. Create and manage Power BI assets

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