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)
I was recently struggling with some pivot table issues and the course gave me the knowledge to work with pivot tables quicker, smarter and more efficiently.
Arina Moayed-Dzenisa - Universal-Investment-Gesellschaft mbH Branch Poland Sp. z o. o.
Course - Microsoft Office Excel - poziom średnio zaawansowany
examples and looking for solutions
Monika Lesniewska - Takenaka Europe GmbH Sp. z o.o. Oddzial w Polsce
Course - Excel Data Analysis
Working on and using our own data/spreadsheets, where we could see how it would benefit us most.
Julie - Environment, Marine and Fisheries
Course - Excel VBA Introduction
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
I generally enjoyed the practical examples.
Marika Agius
Course - Visual Basic for Applications (VBA) for Analysts
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