October 2024
Intermediate to advanced
382 pages
10h 39m
English
Overview
Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques.
Authors Denny Lee, Tristen Wentling, Scott Haines, and Prashanth Babu (with contributions from Delta Lake maintainer R. Tyler Croy) share expert insights on all things Delta Lake--including how to run batch and streaming jobs concurrently and accelerate the usability of your data. You'll also uncover how ACID transactions bring reliability to data lakehouses at scale.
This book helps you:
- Understand key data reliability challenges and how Delta Lake solves them
- Explain the critical role of Delta transaction logs as a single source of truth
- Learn the Delta Lake ecosystem with technologies like Apache Flink, Kafka, and Trino
- Architect data lakehouses with the medallion architecture
- Optimize Delta Lake performance with features like deletion vectors and liquid clustering
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