DP-600T00 Microsoft Fabric Analytics Engineer

Introduction:

The world generates an estimated 463 exabytes of data every day, yet most organizations lack the engineering expertise to turn that raw information into actionable insights. Data silos, inefficient pipelines, and unsecured models leave businesses struggling to scale analytics effectively.

Microsoft Fabric Analytics Engineer (DP-600T00 / DP-600 Certification Exam Prep) solves this by preparing data professionals to design, implement, and manage enterprise-grade analytics with Microsoft Fabric. You’ll orchestrate dataflows and pipelines, apply Spark and Delta Lake for processing, and build secure lakehouses, warehouses, and semantic models that support enterprise-scale reporting.

With hands-on labs and official Microsoft courseware, this course also provides structured preparation for the Microsoft Certified: Fabric Analytics Engineer Associate exam.

Objectives:

By the end of this course, participants will be able to design, implement, and manage Microsoft Fabric solutions that support analytics across the enterprise. You’ll gain the skills to prepare, transform, secure, and govern data using Fabric’s advanced features.

Build and manage lakehouses, dataflows, and data warehouses in Microsoft Fabric
Apply Apache Spark and Delta Lake for data processing and analytics
Orchestrate data pipelines for enterprise workflows
Design semantic models and optimize performance in Power BI
Administer Fabric environments and govern data with Microsoft Purview

Course Outline:

1 – Introduction to end-to-end analytics using Microsoft Fabric

  • Explore end-to-end analytics with Microsoft Fabric
  • Data teams and Microsoft Fabric
  • Enable and use Microsoft Fabric

2 – Get started with lakehouses in Microsoft Fabric

  • Explore the Microsoft Fabric lakehouse
  • Work with Microsoft Fabric lakehouses
  • Explore and transform data in a lakehouse

3 – Use Apache Spark in Microsoft Fabric

  • 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

4 – Work with Delta Lake tables in Microsoft Fabric

  • Understand Delta Lake
  • Create delta tables
  • Optimize delta tables
  • Work with delta tables in Spark
  • Use delta tables with streaming data

5 – Orchestrate processes and data movement with Microsoft Fabric

  • Understand pipelines
  • Use the Copy Data activity
  • Use pipeline templates
  • Run and monitor pipelines

6 – Ingest Data with Dataflows Gen2 in Microsoft Fabric

  • Understand Dataflows Gen2 in Microsoft Fabric
  • Explore Dataflows Gen2 in Microsoft Fabric
  • Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric

7 – Get started with data warehouses in Microsoft Fabric

  • 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

8 – Get started with Real-Time Intelligence in Microsoft Fabric

  • What is real-time data analytics?
  • Real-Time Intelligence in Microsoft Fabric
  • Ingest and transform real-time data
  • Store and query real-time data
  • Visualize real-time data
  • Automate actions

9 – Get started with data science in Microsoft Fabric

  • Understand the data science process
  • Explore and process data with Microsoft Fabric
  • Train and score models with Microsoft Fabric

10 – Administer a Microsoft Fabric environment

  • Understand the Fabric Architecture
  • Understand the Fabric administrator role
  • Manage Fabric security
  • Govern data in Fabric

11 – Introduction to end-to-end analytics using Microsoft Fabric

  • Explore end-to-end analytics with Microsoft Fabric
  • Data teams and Microsoft Fabric
  • Enable and use Microsoft Fabric

12 – Get started with data warehouses in Microsoft Fabric

  • 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

13 – Load data into a Microsoft Fabric 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

14 – Query a data warehouse in Microsoft Fabric

  • Query data
  • Use the SQL query editor
  • Explore the visual query editor
  • Use client tools to query a warehouse

15 – Monitor a Microsoft Fabric data warehouse

  • Monitor capacity metrics
  • Monitor current activity
  • Monitor queries

16 – Secure a Microsoft Fabric data warehouse

  • Explore dynamic data masking
  • Implement row-level security
  • Implement column-level security
  • Configure SQL granular permissions using T-SQL

17 – Add measures to Power BI Desktop models

  • Create simple measures
  • Create compound measures
  • Create quick measures
  • Compare calculated columns with measures

18 – Design scalable semantic models

  • Choose the best storage mode
  • Configure semantic models for large data
  • Work with relationships
  • Write DAX for readability with complex calculations
  • Create dynamic calculation elements

19 – Optimize a model for performance in Power BI

  • Review performance of measures, relationships, and visuals
  • Use variables to improve performance and troubleshooting
  • Reduce cardinality
  • Optimize DirectQuery models with table level storage
  • Create and manage aggregations

20 – Create and manage Power BI assets

  • Create reusable Power BI assets
  • Manage development lifecycle for Power BI assets
  • Use lineage view and endorse data assets
  • Manage a Power BI semantic model using XMLA endpoint

21 – Enforce Power BI model security

  • Restrict access to Power BI model data
  • Restrict access to Power BI model objects
  • Apply good modeling practices

22 – Administer a Microsoft Fabric environment

  • Understand the Fabric Architecture
  • Understand the Fabric administrator role
  • Manage Fabric security
  • Govern data in Fabric

23 – Secure data access in Microsoft Fabric

  • Understand the Fabric security model
  • Configure workspace and item permissions
  • Apply granular permissions

24 – Secure a Microsoft Fabric data warehouse

  • Explore dynamic data masking
  • Implement row-level security
  • Implement column-level security
  • Configure SQL granular permissions using T-SQL

25 – Govern data in Microsoft Fabric with Purview

  • Govern data in Microsoft Fabric
  • Why use Microsoft Purview with Microsoft Fabric?
  • Govern data in the Microsoft Purview hub

Enroll in this course

$2,495.00

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