Shiran, Tomer
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
- ISBN 13:
- 9781098148621
- author:
- Shiran, Tomer
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2024
- Pages:
- 300
- Dimensions:
- 23.3 x 17.8 x 1.8 centimetres (0
- Genre:
- Computers, Computer Science, Data Modeling,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Apache Iceberg: A Practical Guide to Open Data Lakehouse Functionality and Scalability. Traditional data architecture patterns are limited by their inflexibility. To use these patterns, you need to ETL data into each tool, which can be a costly process for making warehouse features available to all your data. This book shows a better way forward with Apache Iceberg, providing the capabilities, performance, and scalability needed for an open data lakehouse. By following the lessons in this book, you'll learn how to achieve interactive, batch, machine learning, and streaming analytics using high-performance open source format Apache Iceberg. You'll discover how to optimize Iceberg tables for maximum performance, use it with popular data engines such as Apache Spark, Apache Flink, and Dremio, and understand the underlying architecture of Apache Iceberg tables.
Related Products
Related Products
Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes
Lee, Denny
Mongodb: The Definitive Guide: Powerful and Scalable Data Storage
Bradshaw, Shannon
Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Serra, James
Data Lake Analytics on Microsoft Azure: A Practitioner's Guide to Big Data Engineering
Chawla, Harsh
Data Engineering with Databricks Cookbook: Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
Chadha, Pulkit