Apache Iceberg: The Definitive Guide : Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Language: English
Published by O'reilly Media Jun 2024, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Neuware - 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.…
Seller Inventory # 9781098148621
- Title
- Apache Iceberg: The Definitive Guide : Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
- Author
- Alex Merced
- Publisher
- O'reilly Media Jun 2024
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1098148622
- ISBN 13
- 9781098148621
- Item weight
- 609 grams
- Dimensions
- 233x177x22 mm
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.
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