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)
Assimilable form of classes
Marek - Uniwersytet Szczecinski
Course - AZ-104T00-A: Microsoft Azure Administrator
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
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.