DP601: Implementing a Lakehouse with Microsoft Fabric Training Course
Microsoft Fabric is a comprehensive data management platform designed to streamline the process of building and managing data lakes and warehouses.
This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to implement a lakehouse solution using Microsoft Fabric.
By the end of this training, participants will be able to:
- Understand the architecture and components of Microsoft Fabric.
- Configure and manage a Lakehouse using Microsoft Fabric.
- Ingest and transform data using Apache Spark.
- Utilize Delta Lake tables for versioning and managing data.
- Implement data ingestion pipelines with Dataflows Gen2.
- Orchestrate data pipelines using Data Factory.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to End-to-End Analysis with Microsoft Fabric
- Overview of Microsoft Fabric
- Understanding the Lakehouse Architecture
- End-to-End Analytics Workflow
Getting Started with Lakehouses in Microsoft Fabric
- Core Features and Capabilities of Lakehouses
- Creating and Configuring a Lakehouse
- Data Ingestion into Lakehouse Tables
Using Apache Spark in Microsoft Fabric
- Configuring Apache Spark in Microsoft Fabric
- Leveraging Spark for Distributed Data Processing
- Analyzing and Transforming Data with Spark DataFrames
Working with Delta Lake Tables in Microsoft Fabric
- Introduction to Delta Lake and Delta Tables
- Managing and Versioning Data with Delta Tables
- Implementing Data Transformations and Queries
Ingesting Data with Dataflows Gen2 in Microsoft Fabric
- Capabilities of Dataflows Gen2
- Designing Dataflow Solutions for Data Ingestion
- Integrating Dataflows into Data Pipelines
Using Data Factory Pipelines in Microsoft Fabric
- Overview of Data Factory Pipelines
- Building and Orchestrating Data Pipelines
- Automating Data Movements and Transformations
Summary and Next Steps
Requirements
- An understanding of data management principles
- Experience with SQL databases
- Basic knowledge of cloud computing concepts
Audience
- Data engineers
- Database administrators
- Data analysts
Open Training Courses require 5+ participants.
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Testimonials (5)
Adam was very knowledgeable and had a great layout.
Corey Reis - Lockheed Martin
Course - Advanced Slide Design in PowerPoint
some small tricks regarding image formating and templates - very useful :)
Natalia Wawrzyniak - Akademia Morska w Szczecinie
Course - Advanced MS PowerPoint
There was a good amount of information for the time of training. Also the trainer was very engaged with the group, especially when people were having troubles or asking questions. It was very nice of him to offer help in case of future ideas.
Aleksander Jarecki - Amazon Development Center Poland Sp. z o.o.
Course - Visual Basic for Applications (VBA) in Excel (intermediate level)
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Course - Data and Analytics - from the ground up
Training agenda was well thought out.
Przemek Zalasinski
Course - Visual Basic for Applications (VBA) in Excel - Introduction to programming
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