You're reading from Building Big Data Pipelines with Apache Beam

Product typeBook

Published inJan 2022

Reading LevelBeginner

PublisherPackt

ISBN-139781800564930

Edition1st Edition

Languages

Python

Tools

Apache Beam

Concepts

Data Processing

Author (1)

Jan Lukavský

Section 3 Apache Beam: Advanced Concepts

In this section, you will cover more advanced concepts and see how splittable DoFn closes the gap between batch and streaming I/Os. It also covers how to use splittable DoFn for non-I/O applications. The section ends with a detailed explanation of how a typical Apache Beam runner evaluates pipelines, and what are the typical building blocks of such a runner.

This section comprises the following chapters:

Chapter 7, Extending Apache Beam's I/O Connectors
Chapter 8, Understanding How Runners Execute Pipelines

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Author (1)

Jan Lukavský

Jan Lukavský is a freelance big data architect and engineer who is also a committer of Apache Beam. He is a certified Apache Hadoop professional. He is working on open source big data systems combining batch and streaming data pipelines in a unified model, enabling the rise of real-time, data-driven applications.
Read more about Jan Lukavský

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