Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake (Paperback or Softback)
Language: English
Published by O'Reilly Media 6/11/2024, 2024
- Softcover
- New

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Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake.
Seller Inventory # BBS-9781098148621
- Title
- Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake (Paperback or Softback)
- Author
- Shiran, Tomer
- Publisher
- O'Reilly Media 6/11/2024
- Publication year
- 2024
- Condition
- New
- Book Type
- Book
- Binding
- Paperback or Softback
- Language
- English
- ISBN 10
- 1098148622
- ISBN 13
- 9781098148621
- Item weight
- 1.21 pounds
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 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.
"Synopsis" may belong to another edition of this title.
About the Author
Jason Hughes is the Director of Technical Advocacy at Dremio. Previously at Dremio, he's been a Product Director, Technical Director and a Senior Solutions Architect. He's been working in technology and data for over a decade, including roles as tech lead for the field at Dremio, the pre-sales and post-sales lead for Presto and QueryGrid for the Americas at Teradata, and leading the development, deployment, and management of a custom CRM system for multiple auto dealerships. He is passionate about making customers and individuals successful and self-sufficient. When he’s not working, he’s usually taking his dog to the dog park, playing hockey, or cooking (when he feels like it). He lives in San Diego, California.
Alex Merced is a developer advocate for Dremio and has worked as a developer and instructor for companies like GenEd Systems, Crossfield Digital, CampusGuard and General Assembly.
Alex is passionate about technology and has put out tech content on outlets such as blogs, videos and his podcasts Datanation and Web Dev 101. Alex Merced has contributed a variety of libraries in the Javascript & Python worlds including SencilloDB, CoquitoJS, dremio-simple-query and more.
"About the title" may belong to another edition of this title.
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