Klappentext

Discover how Delta Lake simplifies the process of building data lakehouses and data pipelines at scale. With this practical guide, data engineers, data scientists, and data analysts will explore key data reliability challenges and learn to apply modern data engineering and management techniques. You'll also understand how ACID transactions bring reliability to data lakehouses at scale.
This book helps you:
Understand key data reliability challenges
Examine data management and engineering techniques using the modern data stack
Realize data reliability improvements using Delta Lake
Concurrently run streaming and batch jobs against your data lake
Execute update, delete, and merge commands
Use time travel to rollback and examine previous versions of your data
Build a streaming data quality pipeline following the medallion construct