Microsoft Fabric Analytics Engineer

Microsoft Fabric Analytics Engineer (DP-600T00)

Course Length: 4 days
Delivery Methods: Multiple delivery options
Course Overview

This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will learn how to use Fabric dataflows, pipelines, and notebooks to develop analytics assets such as semantic models, data warehouses, and lakehouses.  This course is designed for experienced data professionals skilled at data preparation, modeling, analysis, and visualization, such as the PL-300: Power BI Data Analyst certification. 

The primary audience for this course is data professionals with experience in data modeling and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.

Course Benefits
  • Explore end-to-end analytics with Microsoft Fabric.
  • Data teams and Microsoft Fabric.
  • Enable and use Microsoft Fabric.
  • Understand the Fabric Architecture.
  • Understand the Fabric administrator role.
  • Manage Fabric security.
  • Govern data in Fabric.
  • Understand Dataflows Gen2 in Microsoft Fabric.
  • Explore Dataflows Gen2 in Microsoft Fabric.
  • Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric.
  • Connect to data with Spark.
  • Write data into a lakehouse.
  • Consider uses for ingested data.
  • Understand pipelines.
  • Use the Copy Data activity.
  • Use pipeline templates.
  • Run and monitor pipelines.
  • Explore the Microsoft Fabric Lakehouse.
  • Work with Microsoft Fabric Lakehouses.
  • Explore and transform data in a lakehouse.
  • Describe medallion architecture.
  • Implement a medallion architecture in Fabric.
  • Query and report on data in your Fabric lakehouse.
  • Considerations for managing your lakehouse.
  • Prepare to use Apache Spark.
  • Run Spark code.
  • Work with data in a Spark dataframe.
  • Work with data using Spark SQL.
  • Visualize data in a Spark notebook.
  • Understand Delta Lake.
  • Create delta tables.
  • Work with delta tables in Spark.
  • Use delta tables with streaming data.
  • Understand data warehouse fundamentals.
  • Understand data warehouses in Fabric.
  • Query and transform data.
  • Prepare data for analysis and reporting.
  • Secure and monitor your data warehouse.
  • Explore data load strategies.
  • Use data pipelines to load a warehouse.
  • Load data using T-SQL.
  • Load and transform data with Dataflow Gen2.
  • Use the SQL query editor.
  • Explore the visual query editor.
  • Use client tools to query a warehouse.
  • Monitor capacity metrics.
  • Monitor current activity.
  • Monitor queries.
  • Describe the significance of scalable models.
  • Implement Power BI data modeling best practices.
  • Configure large datasets.
  • Understand model relationships.
  • Set up relationships.
  • Use DAX relationship functions.
  • Understand relationship evaluation.
  • Use Performance analyzer.
  • Troubleshoot DAX performance by using DAX Studio.
  • Optimize a data model by using Best Practice Analyzer.
  • Restrict access to Power BI model data.
  • Restrict access to Power BI model objects.
  • Apply good modeling practices.
Available Delivery Methods
Public Class
Public expert-led online training from the convenience of your home, office or anywhere with an internet connection. Guaranteed to run .
Private Class
Private classes are delivered for groups at your offices or a location of your choice.
Microsoft Certified Partner

Webucator is a Microsoft Certified Partner. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Course Outline
  1. Introduction to end-to-end analytics using Microsoft Fabric
    1. Explore end-to-end analytics with Microsoft Fabric
    2. Explore data teams and Microsoft Fabric
    3. Enable and use Microsoft Fabric
  2. Get started with lakehouses in Microsoft Fabric
    1. Explore the Microsoft Fabric lakehouse
    2. Work with Microsoft Fabric lakehouses
    3. Explore and transform data in a lakehouse
  3. Use Apache Spark in Microsoft Fabric
    1. Prepare to use Apache Spark
    2. Run Spark code
    3. Work with data in a Spark dataframe
    4. Work with data using Spark SQL
    5. Visualize data in a Spark notebook
  4. Work with Delta Lake tables in Microsoft Fabric
    1. Understand Delta Lake
    2. Create delta tables
    3. Optimize delta tables
    4. Work with delta tables in Spark
    5. Use delta tables with streaming data
  5. Orchestrate processes and data movement with Microsoft Fabric
    1. Understand pipelines
    2. Use the Copy Data activity
    3. Use pipeline templates
    4. Run and monitor pipelines
  6. Ingest Data with Dataflows Gen2 in Microsoft Fabric
    1. Understand Dataflows Gen2 in Microsoft Fabric
    2. Explore Dataflows Gen2 in Microsoft Fabric
    3. Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
  7. Get started with data warehouses in Microsoft Fabric
    1. Understand data warehouse fundamentals
    2. Understand data warehouses in Fabric
    3. Query and transform data
    4. Prepare data for analysis and reporting
    5. Secure and monitor your data warehouse
  8. Get started with Real-Time Intelligence in Microsoft Fabric
    1. What is real-time data analytics?
    2. Real-Time Intelligence in Microsoft Fabric
    3. Ingest and transform real-time data
    4. Store and query real-time data
    5. Visualize real-time data
    6. Automate actions
  9. Get started with data science in Microsoft Fabric
    1. Understand the data science process
    2. Explore and process data with Microsoft Fabric
    3. Train and score models with Microsoft Fabric
  10. Administer a Microsoft Fabric environment
    1. Understand the Fabric Architecture
    2. Understand the Fabric administrator role
    3. Manage Fabric security
    4. Govern data in Fabric
  11. Introduction to end-to-end analytics using Microsoft Fabric
    1. Explore end-to-end analytics with Microsoft Fabric
    2. Explore data teams and Microsoft Fabric
    3. Enable and use Microsoft Fabric
  12. Get started with data warehouses in Microsoft Fabric
    1. Understand data warehouse fundamentals
    2. Understand data warehouses in Fabric
    3. Query and transform data
    4. Prepare data for analysis and reporting
    5. Secure and monitor your data warehouse
  13. Load data into a Microsoft Fabric data warehouse
    1. Explore data load strategies
    2. Use data pipelines to load a warehouse
    3. Load data using T-SQL
    4. Load and transform data with Dataflow Gen2
  14. Query a data warehouse in Microsoft Fabric
    1. Query data
    2. Use the SQL query editor
    3. Explore the visual query editor
    4. Use client tools to query a warehouse
  15. Monitor a Microsoft Fabric data warehouse
    1. Monitor capacity metrics
    2. Monitor current activity
    3. Monitor queries
  16. Secure a Microsoft Fabric data warehouse
    1. Explore dynamic data masking
    2. Implement row-level security
    3. Implement column-level security
    4. Configure SQL granular permissions using T-SQL
  17. Create DAX calculations in semantic models
    1. Create calculated tables
    2. Create calculated columns
    3. Understand implicit measures
    4. Create explicit measures
    5. Use iterator functions
    6. Check your knowledge
  18. Design scalable semantic models
    1. Choose the best storage mode
    2. Configure semantic models for large data
    3. Work with relationships
    4. Write DAX for readability with complex calculations
    5. Create dynamic calculation elements
  19. Optimize a model for performance in Power BI
    1. Describe semantic model optimization techniques
    2. Review performance of measures, relationships, and visuals
    3. Use variables to improve performance and troubleshooting
    4. Reduce cardinality
    5. Optimize DirectQuery models with table level storage
    6. Create and manage aggregations
    7. Check your knowledge
  20. Create and manage Power BI assets
    1. Create reusable Power BI assets
    2. Manage development lifecycle for Power BI assets
    3. Use lineage view and endorse data assets
    4. Manage a Power BI semantic model using XMLA endpoint
  21. Enforce Power BI model security
    1. Restrict access to Power BI model data
    2. Restrict access to Power BI model objects
    3. Apply good modeling practices
  22. Administer a Microsoft Fabric environment
    1. Understand the Fabric Architecture
    2. Understand the Fabric administrator role
    3. Manage Fabric security
    4. Govern data in Fabric
  23. Secure data access in Microsoft Fabric
    1. Understand the Fabric security model
    2. Configure workspace and item permissions
    3. Apply granular permissions
  24. Secure a Microsoft Fabric data warehouse
    1. Explore dynamic data masking
    2. Implement row-level security
    3. Implement column-level security
    4. Configure SQL granular permissions using T-SQL
  25. Govern data in Microsoft Fabric with Purview
    1. Govern data in Microsoft Fabric
    2. Why use Microsoft Purview with Microsoft Fabric?
    3. Govern data in the Microsoft Purview hub
Class Materials

Each student will receive a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Microsoft Fabric class:

Learners should have prior experience with one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX). 

Live Public Class
$2,445.10 / student
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Live Private Class
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  • Live training
  • Online or On-location
  • Customizable
  • Expert Instructors
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