Microsoft - Microsoft Designing and Implementing Enterprise-Scale



Only 3 Days



Classroom / Online / Hybrid

Next date

Next date:

5.2.2024 (Monday)


This accelerated Microsoft: Microsoft Designing and Implementing Enterprise-Scale course, covers methods and practices for performing advanced data analytics at scale.

In just 3 days, you’ll learn to use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions. You’ll also learn how to:

  • 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.

At the end of this course, you’ll sit the Microsoft exam, and achieve your Microsoft Designing and Implementing Enterprise-Scale certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.


This course is ideal for:

  • People who have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
  • People who 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).

Four reasons why you should sit your course with Firebrand Training

  1. You'll be trained and certified faster. Learn more on this 3-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
  4. Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134561 students saving more than one million hours since 2001


Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified fast. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
  4. Pass first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  6. You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 100,000 professionals
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts


Module 1: Implement and manage a data analytics environment (25–30%)

Govern and administer a data analytics environment

  • Manage Power BI assets by using Azure Purview
  • Identify data sources in Azure by using Azure Purview
  • Recommend settings in the Power BI admin portal
  • Recommend a monitoring and auditing solution for a data analytics environment, including Power BI REST API and PowerShell cmdlets

Integrate an analytics platform into an existing IT infrastructure

  • Identify requirements for a solution, including features, performance, and licensing strategy
  • Configure and manage Power BI capacity
  • Recommend and configure an on-premises gateway in Power BI
  • Recommend and configure a Power BI tenant or workspace to integrate with Azure Data Lake Storage Gen2
  • Integrate an existing Power BI workspace into Azure Synapse Analytics
  • Manage the analytics development lifecycle

    • Commit code and artifacts to a source control repository in Azure Synapse Analytics
    • Recommend a deployment strategy for Power BI assets
    • Recommend a source control strategy for Power BI assets
    • Implement and manage deployment pipelines in Power BI
    • Perform impact analysis of downstream dependencies from dataflows and datasets
    • Recommend automation solutions for the analytics development lifecycle, including Power BI

    REST API and PowerShell cmdlets

  • Deploy and manage datasets by using the XMLA endpoint
  • Create reusable assets, including Power BI templates, Power BI data source (.pbids) files, and shared datasets
  • Module 2: Query and transform data (20–25%)

    Query data by using Azure Synapse Analytics

  • Identify an appropriate Azure Synapse pool when analysing data
  • Recommend appropriate file types for querying serverless SQL pools
  • Query relational data sources in dedicated or serverless SQL pools, including querying partitioned data sources
  • Use a machine learning PREDICT function in a query Ingest and transform data by using Power BI
  • Identify data loading performance bottlenecks in Power Query or data sources
  • Implement performance improvements in Power Query and data sources
  • Create and manage scalable Power BI dataflows
  • Identify and manage privacy settings on data sources
  • Create queries, functions, and parameters by using the Power Query Advanced Editor
  • Query advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models
  • Module 3: Implement and manage data models (25–30%)

    Design and build tabular models

    • Choose when to use DirectQuery for Power BI datasets
    • Choose when to use external tools, including DAX Studio and Tabular Editor 2
    • Create calculation groups
    • Write calculations that use DAX variables and functions, for example handling blanks or errors, creating virtual relationships, and working with iterators
    • Design and build a large format dataset
    • Design and build composite models, including aggregations
    • Design and implement enterprise-scale row-level security and object-level security

    Optimize enterprise-scale data models

    • Identify and implement performance improvements in queries and report visuals
    • Troubleshoot DAX performance by using DAX Studio
    • Optimize a data model by using Tabular Editor 2
    • Analyse data model efficiency by using VertiPaq Analyzer
    • Implement incremental refresh
    • Optimize a data model by using denormalization

    Module 4: Explore and visualize data (20–25%)

    Explore data by using Azure Synapse Analytics

    • Explore data by using native visuals in Spark notebooks
    • Explore and visualize data by using the Azure Synapse SQL results pane

    Visualize data by using Power BI

    • Create and import a custom report theme
    • Create R or Python visuals in Power BI
    • Connect to and query datasets by using the XMLA endpoint
    • Design and configure Power BI reports for accessibility
    • Enable personalized visuals in a report
    • Configure automatic page refresh
    • Create and distribute paginated reports in Power BI Report Builder

    Exam Track

    At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

    DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI exam

    This exam measures your ability to accomplish the following technical tasks: implement and manage a data analytics environment; query and transform data; implement and manage data models; and explore and visualize data.

    Passing score: 700


    • Implement and manage a data analytics environment (25–30%)
    • Query and transform data (20–25%)
    • Implement and manage data models (25–30%)
    • Explore and visualize data (20–25%)

    What's Included

    Your accelerated course includes:

    • Accommodation *
    • Meals, unlimited snacks, beverages, tea and coffee *
    • On-site exams **
    • Exam vouchers **
    • Practice tests **
    • Certification Guarantee ***
    • Courseware
    • Up-to 12 hours of instructor-led training each day
    • 24-hour lab access
    • Digital courseware **
    • * For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
    • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
    • *** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.


    Before attending this accelerated course, you should have:

    • A foundational knowledge of core data concepts and how they’re implemented using Azure data services.
    • Proficient understanding in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analysing data by using Transact-SQL (T-SQL), and visualizing data.

    Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.


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    Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.

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