Apache Iceberg: The Definitive Guide

Data Lakehouse Functionality, Performance, and Scalability on the Data Lake

By: Tomer Shiran, Jason Hughes, Alex Merced

Write A Review

eText | 2 May 2024 | Edition Number 1

At a Glance

Format
ePUB

eText

$75.89

or 4 interest-free payments of $18.97 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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.