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Implementing a Lakehouse with Microsoft Fabric

Course Summary

This one-day course provides participants with the essential knowledge and hands-on skills required to implement a Lakehouse architecture using Microsoft Fabric. Participants learn how to leverage Microsoft Fabric for end-to-end analytics, work with Delta Lake tables, use Apache Spark for data processing and transformation, and create Data Factory pipelines. By the end of the course, participants will be equipped to set up and operate a Lakehouse solution efficiently.

Purpose
Implement a Lakehouse architecture using Microsoft Fabric
Audience

Participants must have:

  • Famiiarity with basic data concepts and SQL.
  • Basic knowledge of cloud computing and Microsoft Azure services.
Role
Data Scientist | Business Analyst
Skill level
Intemediate
Style
Lecture | Hands-on Activities | Labs
Duration
1 day
Related technologies
Microsoft Azure | Microsoft Fabric | Apache Spark | SQL

 

Learning Objectives
  • Understand the principles of Lakehouse architecture
  • Configure and deploy a Lakehouse solution using Microsoft Fabric
  • Utilize Apache Spark for data processing within the Lakehouse
  • Work with Delta Lake tables to manage and version data
  • Ingest data seamlessly using Dataflows Gen2
  • Create and manage Data Factory pipelines within Microsoft Fabric

What you'll learn:

In this course, you'll learn:

Introduction to End-to-End Analytics using Microsoft Fabric

  • Understanding Lakehouse architecture
  • Key benefits and use cases
  • Microsoft Fabric overview and its role in Lakehouse

Getting Started with Lakehouses in Microsoft Fabric

  • Setting up Microsoft Fabric for Lakehouse implementation
  • Configuring data storage and compute resources
  • Connecting to Fabric and creating a Lakehouse project

Use Apache Spark in Microsoft Fabric

  • Introduction to Apache Spark
  • Leveraging Spark for data processing
  • Building and optimizing Spark workflows in Fabric

Work with Delta Lake Tables in Microsoft Fabric

  • Introduction to Delta Lake and its advantages
  • Creating and managing Delta Lake tables in Fabric
  • Versioning and data consistency with Delta Lake

Ingest Data with Dataflows Gen2 in Microsoft Fabric

  • Understanding Dataflows Gen2
  • Building data pipelines for seamless data ingestion
  • Data transformation and preparation with Dataflows Gen2

Data Factory Pipelines in Microsoft Fabric

  • Introduction to Azure Data Factory
  • Creating Data Factory pipelines in Microsoft Fabric
  • Orchestrating data movement and transformations

Implementing a Lakehouse with Microsoft Fabric

real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
fully customized

Tailored Outlines

Once-size-fits-all doesn't apply to training teams. That's where we come in!

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