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DP-601T00: Implement a Lakehouse with Microsoft Fabric
This intermediate course shows data professionals how to build a lakehouse architecture with Microsoft Fabric. You’ll learn to ingest, store, process and analyse data using Apache Spark, Delta Lake tables and Dataflows Gen2. It also covers orchestrating data movement with pipelines and organising your lakehouse with a medallion architecture for scalable, end-to-end analytics.
Duration
8 Hours (1 Day)
Modules
1 Modules
Course type
Microsoft
Course Overview
This intermediate-level learning path teaches data professionals how to implement a lakehouse architecture using Microsoft Fabric. You’ll explore how to ingest, store, process, and analyze data using tools like Apache Spark, Delta Lake tables, and Dataflows Gen2. The course also covers orchestration and medallion architecture design for scalable, end-to-end analytics.
Before You Begin
- Familiarity with basic data concepts and terminology
- Understanding of data storage and processing workflows
- Experience using cloud-based analytics platforms
- Basic knowledge of Microsoft Fabric and Azure services
Key outcomes
- Implement Lakehouse Architecture Use Microsoft Fabric for scalable, unified analytics.
- Analyze with Spark & Delta Run advanced analytics using Spark and Delta Lake.
- Transform Data with Dataflows Ingest and shape data using Gen2 Dataflows.
- Orchestrate with Medallion Design Apply medallion layers for structured, reliable insights.
Tools you’ll use
Delta Lake
Microsoft Fabric
Apache Spark
Dataflows Gen2
Skills you’ll gain
- Lakehouse Architecture Design
- Apache Spark Processing
- Dataflows Gen2 Usage
- Data Ingestion Techniques
- Analytics Workflow Orchestration
- Scalable Data Engineering
- Fabric Platform Integration
What You’ll Learn
1 module
1Lesson 1: 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: Orchestrate Processes and Data Movement with Microsoft Fabric Module 7: Organize a Fabric Lakehouse Using Medallion Architecture Design
Certification & Credentials
Certificate track
8 Hours (1 Day)
Target Audience
Intended roles
- Data Engineer
Frequently asked questions
What is a lakehouse in Microsoft Fabric?
It’s a unified architecture combining data lake flexibility with data warehouse analytics capabilities.
Do I need coding experience for this course?
Basic data knowledge is sufficient; Spark and transformation tasks are guided.
What tools are used in the course?
Microsoft Fabric, Apache Spark, Delta Lake, and Dataflows Gen2.
Is this course hands-on?
Yes, it includes practical labs and guided modules for real-world scenarios.
Who should take this course?
Data engineers, analysts, and scientists working with cloud-based analytics platforms.
| Duration | 8 Hours (1 Day) |
|---|---|
| Modules | 1 Modules |
| Course type | Microsoft |
| Category | Microsoft |
| Intended roles | Data Engineer |
| Prerequisites | Familiarity with basic data concepts and terminology, Understanding of data storage and processing workflows, Experience using cloud-based analytics platforms, Basic knowledge of Microsoft Fabric and Azure services |
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