Learn Together: Work with Delta Lake tables in Microsoft Fabric

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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.

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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

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Chapters
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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

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Presenters

Charley Hanania
Microsoft MVP, Microsoft Super User
QS2 AG - Quality Software Solutions
Twitter:   / charleyhanania  
LinkedIn:   / charleyhanania  

Tom Martens
Senior Solution Architect, Microsoft MVP, Microsoft Super User
Munich Re
LinkedIn:   / tommartens68  

Moderators

Nicky van Vroenhoven
Unit Lead Fabric & Power BI, Microsoft MVP
Powerdobs
LinkedIn:   / nickyvanvroenhoven  


Bernat Agulló
Partner, Microsoft MVP
ESBRINA
LinkedIn:   / bernatagullo