Implementing a Lakehouse with Microsoft Fabric (DP-601)
Course Outline
This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This Microsoft Fabric (DP-601) Training course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines.
This course includes a combination of lectures and hands-on exercises that will prepare you to work with Lakehouses in Microsoft Fabric.
Implementing a Lakehouse with Microsoft Fabric (DP-601) Benefits
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In this course, you will:
- Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform.
- Describe core features and capabilities of lakehouses in Microsoft Fabric.
- Analyze and process data in a Lakehouse at scale.
- Create advanced analytics solutions using the enhanced capabilities of delta tables.
- Visually create multi-step data ingestion and transformation using Power Query Online with Dataflows (Gen2).
- Create pipelines that orchestrate data ingestion and transformation tasks with Data Factory capabilities within Microsoft Fabric.
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Training Prerequisites
You should be familiar with basic data concepts and terminology.
Microsoft Fabric (DP-601) Training Outline
Module 1: Introduction to end-to-end analytics using Microsoft Fabric
In this module, you'll learn how to:
- Describe end-to-end analytics in Microsoft Fabric
Module 2: Get started with lakehouses in Microsoft Fabric
In this module, you'll learn how to:
- 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
Module 3: Use Apache Spark in Microsoft Fabric
In this module, you'll learn how to:
- 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
Module 4: Work with Delta Lake tables in Microsoft Fabric
In this module, you'll learn how to:
- Understand Delta Lake and delta tables in Microsoft Fabric
- Create and manage delta tables using Spark
- Use Spark to query and transform data in delta tables
- Use delta tables with Spark structured streaming
Module 5: Ingest Data with Dataflows Gen2 in Microsoft Fabric
In this module, you'll learn how to:
- Describe Dataflow (Gen2) capabilities in Microsoft Fabric
- Create Dataflow (Gen2) solutions to ingest and transform data
- Include a Dataflow (Gen2) in a pipeline
Module 6: Use Data Factory pipelines in Microsoft Fabric
In this module, you'll learn how to:
- Describe pipeline capabilities in Microsoft Fabric
- Use the Copy Data activity in a pipeline
- Create pipelines based on predefined templates
- Run and monitor pipelines
- choosing a selection results in a full page refresh