DP-601 Training: Implementing a Lakehouse with Microsoft Fabric

Course: 2720

This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept.

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  • Duration: 1 day
  • Price: $595.00
Get This Course $595.00
December 18

9:00 AM – 4:00 PM CST

January 15

9:00 AM – 4:00 PM CST

February 12

9:00 AM – 4:00 PM CST

August 12

9:00 AM – 4:00 PM CST

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  • Virtual instructor Led Training
  • Complete Hands-on Labs
  • Softcopy of Courseware
  • Learning Labs
  • Virtual instructor Led Training
  • Complete Hands-on Labs
  • Softcopy of Courseware
  • Learning Labs
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Microsoft Fabric Lakehouse Training Dynamics Edge

Overview

This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric.

Audience Profile

The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies.

Course Outline

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

Get started with lakehouses in Microsoft Fabric

  • Explore the Microsoft Fabric Lakehouse
  • Work with Microsoft Fabric Lakehouses

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

Work with Delta Lake tables in Microsoft Fabric

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

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

Use Data Factory pipelines in Microsoft Fabric

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


Related Links:

DP-500 Training
Microsoft Certified: Azure Data Scientist Associate
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