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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
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Author (1)
Jan Lukavský
Jan Lukavský
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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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Technical requirements

In this chapter, we will be installing and setting up the development environment that we will be using throughout the book. In order to carry out the necessary installations, you will need a system capable of running Bash and Docker. All of the other necessary technologies are self-contained within minikube, which we will run on top of the system.

Throughout this chapter, we will use the code from the GitHub repository for this book:

https://github.com/PacktPublishing/Building-Big-Data-Pipelines-with-Apache-Beam

Do not forget to clone it or use the cloned version from the previous chapter.

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Building Big Data Pipelines with Apache Beam
Published in: Jan 2022Publisher: PacktISBN-13: 9781800564930
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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