DP-500T00 Designing And Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure And Microsoft Power BI

Length: 4 Day(s), Price: $$2,682.00 exl GST

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.

  • Explore advanced methods and practices for performing data analytics at scale.
  • Learn to implement and manage a data analytics environment.
  • Develop skills in querying and transforming data, as well as implementing and managing data models.
  • Utilize Microsoft Purview, Azure Synapse Analytics, and Power BI to build comprehensive 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, students must have:

  • A foundational knowledge of core data concepts and how they’re implemented using Azure data services. For more information see Azure Data Fundamentals AZ-900T00
  • 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 PL-300T00

 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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