4 days.


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

  • A foundational knowledge of core data concepts and how theyre implemented using Azure data services. For more information seeAzure 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.

    Skills Gained

    After completing this course, students will be able to:

    • Implement and manage a data analytics environment
    • Query and transform data
    • Implement and manage data models
    • Explore and visualize data

      Who Can Benefit?

      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.

        Outline for Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Training


        • Explore Azure data services for modern analytics
        • Understand concepts of data analytics
        • Explore data analytics at scale
        • Introduction to Microsoft Purview
        • Discover trusted data using Microsoft Purview
        • Catalog data artifacts by using Microsoft Purview
        • Manage Power BI assets by using Microsoft Purview
        • Integrate Microsoft Purview and Azure Synapse Analytics
        • Introduction to Azure Synapse Analytics
        • Use Azure Synapse serverless SQL pool to query files in a data lake
        • Analyze data with Apache Spark in Azure Synapse Analytics
        • Analyze data in a relational data warehouse
        • Choose a Power BI model framework
        • Understand scalability in Power BI
        • Create and manage scalable Power BI dataflows
        • Create Power BI model relationships
        • Use DAX time intelligence functions in Power BI Desktop models
        • Create calculation groups
        • Enforce Power BI model security
        • Use tools to optimize Power BI performance
        • Understand advanced data visualization concepts
        • Monitor data in real-time with Power BI
        • Create paginated reports
        • Provide governance in a Power BI environment
        • Monitor and audit usage
        • Broaden the reach of Power BI
        • Build reports using Power BI within Azure Synapse Analytics
        • Design a Power BI application lifecycle management strategy
        • Create and manage a Power BI deployment pipeline
        • Create and manage Power BI assets

          04/23/2024 - 04/26/2024
          09:00 AM - 05:00 PM
          Eastern Standard Time
          Online Virtual Class
          USD $2,595.00
          06/03/2024 - 06/06/2024
          09:00 AM - 05:00 PM
          Eastern Standard Time
          Online Virtual Class
          USD $2,595.00