Course Name

Microsoft Fabric Analytics Engineer

Course Introduction

This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, an

Course Delivery Method

Our courses have flexible delivery options:

  • In-person classroom training at the Impactful training
    facilities

  • Virtual instructor-led training
  • Nationally: on-site at the client

Course Intended Audience

This course is intended for:

Candidates who have the PL-300 certification or similar expertise in using Power BI for data transformation, modelling, visualisation, and sharing.
Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.

Course Content

  • MODULE 1: Ingest Data with Dataflows Gen2 in Microsoft Fabric
  • MODULE 2: Ingest data with Spark and Microsoft Fabric notebooks
  • MODULE 3: Use Data Factory pipelines in Microsoft Fabric
  • MODULE 4: Get started with lakehouses in Microsoft Fabric
  • MODULE 5: Organize a Fabric lakehouse using medallion architecture design
  • MODULE 6: Use Apache Spark in Microsoft Fabric
  • MODULE 7: Work with Delta Lake tables in Microsoft Fabric
  • MODULE 8: Get started with data warehouses in Microsoft Fabric
  • MODULE 9: Load data into a Microsoft Fabric data warehouse
  • MODULE 10: Query a data warehouse in Microsoft Fabric
  • MODULE 11: Monitor a Microsoft Fabric data warehouse
  • MODULE 12: Understand scalability in Power BI
  • MODULE 13: Create Power BI model relationships
  • MODULE 14: Use tools to optimize Power BI performance
  • MODULE 15: Enforce Power BI model security
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Course Introduction

This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, an

Course Delivery Method

Our courses have flexible delivery options:

  • In-person classroom training at the Impactful training
    facilities

  • Virtual instructor-led training
  • Nationally: on-site at the client

Course Intended Audience

This course is intended for:

Candidates who have the PL-300 certification or similar expertise in using Power BI for data transformation, modelling, visualisation, and sharing.
Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.

Course Content

  • MODULE 1: Ingest Data with Dataflows Gen2 in Microsoft Fabric
  • MODULE 2: Ingest data with Spark and Microsoft Fabric notebooks
  • MODULE 3: Use Data Factory pipelines in Microsoft Fabric
  • MODULE 4: Get started with lakehouses in Microsoft Fabric
  • MODULE 5: Organize a Fabric lakehouse using medallion architecture design
  • MODULE 6: Use Apache Spark in Microsoft Fabric
  • MODULE 7: Work with Delta Lake tables in Microsoft Fabric
  • MODULE 8: Get started with data warehouses in Microsoft Fabric
  • MODULE 9: Load data into a Microsoft Fabric data warehouse
  • MODULE 10: Query a data warehouse in Microsoft Fabric
  • MODULE 11: Monitor a Microsoft Fabric data warehouse
  • MODULE 12: Understand scalability in Power BI
  • MODULE 13: Create Power BI model relationships
  • MODULE 14: Use tools to optimize Power BI performance
  • MODULE 15: Enforce Power BI model security

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