Apache Iceberg: The Definitive Guide
Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Book Details
| Authors | Tomer Shiran, Jason Hughes, Alex Merced |
| Publisher | O'Reilly Media |
| Published | 2024 |
| Edition | 1 |
| Paperback | 344 pages |
| Language | English |
| ISBN-13 | 9781098148614, 9781098148621 |
| ISBN-10 | 1098148614, 1098148622 |
| License | Compliments of Dremio |
Book Description
Traditional data architecture patterns are severely limited. To use these patterns, you have to ETL data into each tool - a cost-prohibitive process for making warehouse features available to all of your data. The lack of flexibility with these patterns requires you to lock into a set of priority tools and formats, which creates data silos and data drift. This practical book shows you a better way.
Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you'll be able to achieve interactive, batch, machine learning, and streaming analytics with this high-performance open source format. Authors Tomer Shiran, Jason Hughes, and Alex Merced from Dremio show you how to get started with Iceberg.
With this open book, you'll learn:
- The architecture of Apache Iceberg tables
- What happens under the hood when you perform operations on Iceberg tables
- How to further optimize Iceberg tables for maximum performance
- How to use Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio
Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.
This book is published as open-access, which means it is freely available to read, download, and share without restrictions.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.
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