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
Testimonials (5)
Adam was very knowledgeable and had a great layout.
Corey Reis - Lockheed Martin
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some small tricks regarding image formating and templates - very useful :)
Natalia Wawrzyniak - Akademia Morska w Szczecinie
Course - Advanced MS PowerPoint
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
Content and the way it was provided.
Marcin Samborski
Course - Visual Basic for Applications (VBA) in Excel - Advanced
Training agenda was well thought out.