Learn Together: Work with Delta Lake tables in Microsoft Fabric
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.
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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: 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/
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/
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