Understand Fabric architecture - You will learn how Microsoft Fabric works in terms of architecture, data team roles, and network backbone, so you can better judge how to apply the platform in your own environment.
Set up the platform yourself - You will go through Microsoft Fabric configuration and activation step by step, so after the course you can start working faster and avoid common implementation mistakes.
Master the Lakehouse approach - You will understand how a Lakehouse differs from a traditional data warehouse and when to use it, helping you design modern analytics solutions with better architectural decisions.
Work with data in Lakehouse - You will learn to explore, transform, and analyze data in Fabric Lakehouse, then present the results, so you can move from raw data to useful insights much more efficiently.
Run Apache Spark in practice - You will learn Spark requirements, environment setup, and session initialization, giving you confidence to launch processing jobs and prepare the platform for larger data workloads.
Process data with Spark and SQL - You will load data into DataFrames, perform transformations, and use Spark SQL, which will help you prepare datasets for analysis and reporting in a practical, repeatable way.
Use Delta Lake effectively - You will learn how to create and modify Delta Lake tables and track change history, making it easier for you to maintain data consistency, versioning, and control over updates.
Automate data flows - You will work with Gen2 dataflows and Data Factory pipelines, learning how to copy data, trigger processes, and monitor execution to build more reliable ETL and integration flows.
Data analysis basics - You should understand core data concepts such as tables, columns, records, and simple transformations so you can work comfortably with the hands-on exercises.
SQL familiarity - You should be able to write basic SQL queries, including filtering, selecting columns, and simple joins, because these operations will appear in Spark SQL tasks.
Cloud environment skills - You should feel comfortable working with browser-based cloud interfaces, configuring resources, and navigating service portals used to manage platform settings.
Basic data handling - You should have experience loading files, reviewing datasets, and interpreting analysis results so you can focus on Fabric tools rather than core data basics.
