DP-601T00 | Implementing a Lakehouse with Microsoft Fabric
 
This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This 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.
 
Audience Profile
The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies.
 
Role
Data Analyst
Data Engineer
Data Scientist
 
Course Outline
Module 1: Introduction to end-to-end analytics using Microsoft Fabric
Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Learn about Microsoft Fabric, how it works, and identify how you can use it for your analytics needs.
Introduction
Explore end-to-end analytics with Microsoft Fabric
Data teams and Microsoft Fabric
Enable and use Microsoft Fabric
Knowledge Check
Summary
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
Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform.
Introduction
Explore the Microsoft Fabric lakehouse
Work with Microsoft Fabric lakehouses
Explore and transform data in a lakehouse
Exercise - Create and ingest data with a Microsoft Fabric lakehouse
Knowledge check
Summary
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
Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data in a Lakehouse at scale.
Introduction
Prepare to use Apache Spark
Run Spark code
Work with data in a Spark dataframe
Work with data using Spark SQL
Visualize data in a Spark notebook
Exercise - Analyze data with Apache Spark
Knowledge check
Summary
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
Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.
Introduction
Understand Delta Lake
Create delta tables
Work with delta tables in Spark
Use delta tables with streaming data
Exercise - Use delta tables in Apache Spark
Knowledge check
Summary
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
Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.
Introduction
Understand Dataflows Gen2 in Microsoft Fabric
Explore Dataflows Gen2 in Microsoft Fabric
Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
Exercise - Create and use a Dataflow Gen2 in Microsoft Fabric
Knowledge check
Summary
In this module, you'll learn how to:
Describe Dataflow capabilities in Microsoft Fabric
Create Dataflow solutions to ingest and transform data
Include a Dataflow in a pipeline
Module 6: Use Data Factory pipelines in Microsoft Fabric
Microsoft Fabric includes Data Factory capabilities, including the ability to create pipelines that orchestrate data ingestion and transformation tasks.
Introduction
Understand pipelines
Use the Copy Data activity
Use pipeline templates
Run and monitor pipelines
Exercise - Ingest data with a pipeline
Knowledge check
Summary
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
 
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Debido a las constantes actualizaciones de los contenidos de los cursos por parte del fabricante, el contenido de este temario puede variar con respecto al publicado en el sitio oficial, sin embargo, Netec siempre entregará la versión actualizada de éste.