Kurs za DP-600: Microsoft Fabric Analytics Engineer

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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.

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

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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