ENGLISH

Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake

By Jason Hughes , Tomer Shiran , Alex Merced

Book information

Publisher
O’Reilly Media
Year
2024
ISBN
1098148622, 9781098148621
ASIN
B0CZ4F2MP3
Language
english
Format
PDF
Filesize
5 MB (5481640 bytes)
Edition
1
Pages
341\344
Topic
Computers Databases
Orientation
portrait
Paginated
yes
Scanned
no
Time added
2024-10-28 11:31:37
Stream Processing; Apache Flink; Data Lake; Data W

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 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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