Learn Together: Work with Delta Lake tables in Microsoft Fabric

Full series information: https://aka.ms/learnlive-microsoft-fabric-wave-2 More info here: https://aka.ms/learnlive-microsoft-fabric-wave-2-Ep203 Follow on Microsoft Learn: - Complete the Learn module: https://aka.ms/learnlive-20240222G Tables in a Microsoft Fabric lakehouse are based on the Delta Lake storage format commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions. --------------------- Learning objectives - Understand Delta Lake and delta tables in Microsoft Fabric - Create and manage delta tables using Spark - Use Spark to query and transform data in delta tables - Use delta tables with Spark structured streaming --------------------- Chapters -------- 00:00 - Introduction 03:44 - Fabric Career Hub 10:52 - Learning objectives 12:01 - Understand Delta Lake 21:20 - Why the need for ACID? 28:45 - What's ACID? 29:00 - Inside Delta Parquet Format 29:50 - Inside the Apache Parquet Format 37:37 - Create delta tables 52:31 - Use time travel to work with table versioning 55:51 - Use delta tables with streaming data 58:07 - Exercise - Use delta tables in Apache Spark 1:23:59 - Summary --------------------- Presenters Charley Hanania Microsoft MVP, Microsoft Super User QS2 AG - Quality Software Solutions - Twitter: https://twitter.com/CharleyHanania - LinkedIn: https://www.linkedin.com/in/charleyhanania/ Tom Martens Senior Solution Architect, Microsoft MVP, Microsoft Super User Munich Re - LinkedIn: https://www.linkedin.com/in/tommartens68/ Moderators Nicky van Vroenhoven Unit Lead Fabric & Power BI, Microsoft MVP Powerdobs - LinkedIn: https://www.linkedin.com/in/nickyvanvroenhoven Bernat Agulló Partner, Microsoft MVP ESBRINA - LinkedIn: https://www.linkedin.com/in/bernatagullo/