DP-601T00: Implement a Lakehouse with Microsoft Fabric Training

DP-601 teaches you how to build a lakehouse using Microsoft Fabric. A lakehouse combines the flexibility of a data lake with the structure of a data warehouse, and this course shows you how to set one up. You'll work through data ingestion, transformation, and analytics, covering both batch processing and real time use cases.

📘 Fabric 👥 248 Enrolled ⏱️ 1 Day 💼 Intermediate Level ⭐ 5 | 148 Reviews

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Course Overview

This course covers building, managing, and querying Microsoft Fabric lakehouses. You'll ingest, analyze, and transform data using Apache Spark and Delta Lake. It also covers data pipelines and Dataflows Gen2 for moving and managing data efficiently. By the end, you'll understand how to build an end to end analytics solution in Microsoft Fabric.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

What you will learn

Introduction to end-to-end analytics using Microsoft Fabric
Get started with lakehouses in Microsoft Fabric
Use Apache Spark in Microsoft Fabric
Work with Delta Lake tables in Microsoft Fabric
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Use Data Factory pipelines in Microsoft Fabric

Who Should Attend This Course?

Data Analyst
Data Scientist
Fabric Analytics Engineer

Prerequisites

You should be familiar with basic data concepts and terminology.

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📘 DP-601T00: Implement a Lakehouse with Microsoft Fabric Outline

Describe end-to-end analytics in Microsoft Fabric

Describe core features and capabilities of lakehouses in Microsoft Fabric.
Create a lakehouse.
Ingest data into files and tables in a lakehouse.
Query lakehouse tables with SQL.
Lab: Create a Microsoft Fabric lakehouse

Configure Spark in a Microsoft Fabric workspace
Identify suitable scenarios for Spark notebooks and Spark jobs
Use Spark dataframes to analyze and transform data
Use Spark SQL to query data in tables and views
Visualize data in a Spark notebook
Lab: Analyze data with Apache Spark

Understand Delta Lake and delta tables in Microsoft Fabric
Create and manage delta tables using Spark
Optimize delta tables
Use Spark to query and transform data in delta tables
Use delta tables with Spark structured streaming
Lab: Use delta tables in Apache Spark

Describe Dataflow capabilities in Microsoft Fabric
Create Dataflow solutions to ingest and transform data
Include a Dataflow in a pipeline
Lab: Create and use a Dataflow Gen2 in Microsoft Fabric

Describe pipeline capabilities in Microsoft Fabric.
Use the Copy Data activity in a pipeline.
Create pipelines based on predefined templates.
Run and monitor pipelines.
Lab: Ingest data with a pipeline

Describe the principles of using the medallion architecture in data management.
Apply the medallion architecture framework within the Microsoft Fabric environment.
Analyze data stored in the lakehouse using DirectLake in Power BI.
Describe best practices for ensuring the security and governance of data stored in the medallion architecture.
Lab: Organize your Fabric lakehouse using a medallion architecture

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