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DP-601T00: Implementing a Lakehouse with Microsoft Fabric

  • 4.83(3,212 Rating)

Course Overview

The DP-601T00: Implementing a Lakehouse with Microsoft Fabric course offered by CounselTrain is designed to teach learners how to create a comprehensive analytics solution using Microsoft Fabric’s integrated analytics platform. The course covers key aspects of working with Microsoft Fabric, including:

  • Building and managing lakehouses
  • Leveraging Apache Spark for data processing
  • Utilizing Delta Lake tables for reliable data storage
  • Integrating Dataflows Gen2 for data ingestion
  • Using Data Factory pipelines for orchestrating and automating data workflows

Through detailed modules, participants will gain hands-on experience in implementing lakehouse architectures, from data exploration and transformation to visualization, and learn best practices for effective team collaboration within the Fabric ecosystem. Completing this course will prepare learners for Microsoft Fabric certification and equip them with the skills needed to design and implement robust analytics solutions on the Microsoft Fabric platform, paving the way for future innovation and data-driven decision-making.

 

Multiple Routes of Delivery to
Fit Your Timetable

We understand that flexibility is key to effective learning and development, especially in today’s dynamic work environment. That’s why we offer multiple delivery formats for our IT trainings in UAE. Whether you prefer the interaction of in-person classes, the convenience of live virtual training, or the independence of self-paced online learning, we have a solution tailored to your schedule. Our goal is to make professional growth accessible to everyone, allowing you to upskill without compromising your other commitments.

Schedule Dates

23 December 2024
DP-601T00: Implementing a Lakehouse with Microsoft Fabric
24 March 2025
DP-601T00: Implementing a Lakehouse with Microsoft Fabric
24 June 2025
DP-601T00: Implementing a Lakehouse with Microsoft Fabric
24 September 2025
DP-601T00: Implementing a Lakehouse with Microsoft Fabric

Course Content

  • Introduction to Microsoft Fabric
  • Data teams and Fabric
  • Enable and use Microsoft Fabric

  • What is a Lakehouse
  • Work with a Fabric Lakehouse
  • Explore, transform and visualize data in the Lakehouse

  • Prepare to use Apache Spark
  • Run Spark in Fabric
  • Load data in a Spark DataFrame
  • Transform data in a Spark DataFrame
  • Partition the output file
  • Work with data using Spark SQL
  • Query Data using Spark SQL API
  • Visualize Data

  • Understand Delta Lake
  • Create delta tables using code in Spark
  • Managed vs External Tables
  • Work with delta tables in Spark
  • Data versioning and Time Trave
  • Use delta tables with Streaming data

  • Understand Dataflows (Gen2)
  • Dataflow (Gen2) benefits and limitations
  • Explore Dataflows (Gen2) in Microsoft Fabric
  • Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric

  • Pipelines in Microsoft Fabric
  • Common Activities – Copy Data
  • Common Activities – pipeline templates
  • Run and monitor pipelines

FAQs

Participants should have a basic understanding of data engineering concepts and experience with data platforms. Familiarity with Microsoft Azure and data management will be beneficial.

You will learn to:

  • Design and implement lakehouse architectures using Microsoft Fabric.
  • Integrate data lakes and data warehouses for unified data analytics.
  • Manage and optimize data workflows within the lakehouse environment.
  • Utilize Microsoft Fabric’s tools and features for effective data management.

Yes, the course includes practical labs where you will apply your knowledge by setting up and managing lakehouse environments using Microsoft Fabric.

To enroll, visit the CounselTrain website and complete the registration process. For additional assistance, reach out to our support team.

Topics include designing lakehouse architectures, integrating data lakes and warehouses, managing data workflows, and using Microsoft Fabric tools for data management.

The course provides essential skills for implementing and managing lakehouse architectures, enhancing your ability to handle complex data environments and advancing your career in data engineering and architecture.

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