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  • DP - 601 : Implement a Lakehouse with Microsoft Fabric

This course provides an introduction to the foundational components necessary for implementing a data lakehouse using Microsoft Fabric. You will explore the core concepts and practices involved in setting up and managing a data lakehouse architecture to support scalable data analytics and storage.

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DP - 601 : Implement a Lakehouse with Microsoft Fabric Training

Curriculum

Master data analytics with DP-601: Implement a Lakehouse with Microsoft Fabric Training. Learn to design, build & manage lakehouse solutions effectively.

Ratings

( 4.5 Ratings )

Live Online Classes starting on 01 January, 1970

DP - 601 : Implement a Lakehouse with Microsoft Fabric

DP-601: Implement a Lakehouse with Microsoft Fabric course is designed to educate learners on how to build an end-to-end analytics solution using Microsoft's integrated analytics platform, Microsoft Fabric. This course covers essential aspects of working with Fabric, including creating and managing lakehouses, leveraging Apache Spark for data processing, understanding Delta Lake tables for reliable storage, integrating Dataflows Gen2 for data ingestion, and utilizing Data Factory pipelines for orchestrating and automating data workflows. Through comprehensive modules, participants gain hands-on experience in implementing a Lakehouse architecture, from data exploration and transformation to visualization, and learn best practices for team collaboration within the Fabric ecosystem. By completing this course, learners can prepare for Microsoft Fabric certification and acquire the skills necessary to architect and implement robust analytics solutions on the Microsoft Fabric platform, setting a foundation for future innovation and data-driven decision-making.

 

Audience Profile:

  • Data Analysts

  • Data Engineers

  • Data Scientists

  • Microsoft Fabric Users

 

Prerequisites:

  • Familiarity with basic data concepts and terminology

 

Course Outline:

Module 1: Introduction to End-to-End Analytics Using Microsoft Fabric

  • Overview of end-to-end analytics capabilities within Microsoft Fabric

Module 2: Get Started with Lakehouses in Microsoft Fabric

  • Core features and capabilities of lakehouses in Microsoft Fabric

  • Creating and managing lakehouses

  • Ingesting data into files and tables within a lakehouse

  • Querying lakehouse tables using SQL

Module 3: Use Apache Spark in Microsoft Fabric

  • Configuring Spark within a Microsoft Fabric workspace

  • Identifying scenarios for Spark notebooks and Spark jobs

  • Using Spark dataframes for data analysis and transformation

  • Querying data with Spark SQL

  • Visualizing data within Spark notebooks

Module 4: Work with Delta Lake Tables in Microsoft Fabric

  • Understanding Delta Lake and delta tables

  • Creating and managing delta tables using Spark

  • Querying and transforming data in delta tables with Spark

  • Utilizing delta tables with Spark structured streaming

Module 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric

  • Capabilities of Dataflows in Microsoft Fabric

  • Creating Dataflow solutions for data ingestion and transformation

  • Incorporating Dataflows into pipelines

Module 6: Use Data Factory Pipelines in Microsoft Fabric

  • Capabilities of pipelines in Microsoft Fabric

  • Using the Copy Data activity within pipelines

  • Creating and running pipelines using predefined templates

  • Monitoring pipeline execution

Module 7: Organize a Fabric Lakehouse Using Medallion Architecture Design

  • Principles of medallion architecture in data management

  • Implementing the medallion architecture framework in Microsoft Fabric

  • Analyzing lakehouse data using DirectLake in Power BI

  • Best practices for data security and governance within the medallion architecture

(4.5 Ratings)

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