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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, and semantic models, to create and deploy analytics assets.

This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.

LEARNING PATH 1
Ingest data with Microsoft Fabric

  • 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

 

LEARNING PATH 2
Implement a Lakehouse with Microsoft Fabric

  • Module 1: Introduction to end-to-end analytics using Microsoft Fabric
  • Module 2: Get started with lakehouses in Microsoft Fabric
  • Module 3: Use Apache Spark in Microsoft Fabric
  • Module 4: Work with Delta Lake tables in Microsoft Fabric
  • Module 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric
  • Module 6: Use Data Factory pipelines in Microsoft Fabric
  • Module 7: Organize a Fabric lakehouse using medallion architecture design

 

LEARNING PATH 3
Implement a data warehouse with Microsoft Fabric

  • Module 1: Get started with data warehouses in Microsoft Fabric
  • Module 2: Load data into a Microsoft Fabric data warehouse
  • Module 3: Query a data warehouse in Microsoft Fabric
  • Module 4: Monitor a Microsoft Fabric data warehouse

 

LEARNING PATH 4
Work with semantic models in Microsoft Fabric

  • Module 1: Understand scalability in Power BI
  • Module 2: Create Power BI model relationships
  • Module 3: Use tools to optimize Power BI performance
  • Module 4: Enforce Power BI model security

 

LEARNING PATH 5
Design and build tabular models

  • Module 1: Create Power BI model relationships
  • Module 2: Use DAX time intelligence functions in Power BI Desktop models
  • Module 3: Create calculation groups
  • Module 4: Enforce Power BI model security
  • Module 5: Use tools to optimize Power BI performance

 

LEARNING PATH 6
Manage the analytics development lifecycle

  • Module 1: Design a Power BI application lifecycle management strategy
  • Module 2: Create and manage a Power BI deployment pipeline
  • Module 3: Create and manage Power BI assets

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

Microsoft Certified: Fabric Analytics Engineer Associate after successful completion of the Exam DP-600: Implementing Analytics Solutions Using Microsoft Fabric (beta)

Опис

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, and semantic models, to create and deploy analytics assets.

This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.

Содржина

LEARNING PATH 1
Ingest data with Microsoft Fabric

  • 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

 

LEARNING PATH 2
Implement a Lakehouse with Microsoft Fabric

  • Module 1: Introduction to end-to-end analytics using Microsoft Fabric
  • Module 2: Get started with lakehouses in Microsoft Fabric
  • Module 3: Use Apache Spark in Microsoft Fabric
  • Module 4: Work with Delta Lake tables in Microsoft Fabric
  • Module 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric
  • Module 6: Use Data Factory pipelines in Microsoft Fabric
  • Module 7: Organize a Fabric lakehouse using medallion architecture design

 

LEARNING PATH 3
Implement a data warehouse with Microsoft Fabric

  • Module 1: Get started with data warehouses in Microsoft Fabric
  • Module 2: Load data into a Microsoft Fabric data warehouse
  • Module 3: Query a data warehouse in Microsoft Fabric
  • Module 4: Monitor a Microsoft Fabric data warehouse

 

LEARNING PATH 4
Work with semantic models in Microsoft Fabric

  • Module 1: Understand scalability in Power BI
  • Module 2: Create Power BI model relationships
  • Module 3: Use tools to optimize Power BI performance
  • Module 4: Enforce Power BI model security

 

LEARNING PATH 5
Design and build tabular models

  • Module 1: Create Power BI model relationships
  • Module 2: Use DAX time intelligence functions in Power BI Desktop models
  • Module 3: Create calculation groups
  • Module 4: Enforce Power BI model security
  • Module 5: Use tools to optimize Power BI performance

 

LEARNING PATH 6
Manage the analytics development lifecycle

  • Module 1: Design a Power BI application lifecycle management strategy
  • Module 2: Create and manage a Power BI deployment pipeline
  • Module 3: Create and manage Power BI assets
За кого е наменет

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

Сертификати

Microsoft Certified: Fabric Analytics Engineer Associate after successful completion of the Exam DP-600: Implementing Analytics Solutions Using Microsoft Fabric (beta)

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