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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
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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Technical requirements

We will use the same tools as in the previous chapter, so, for a detailed description of how to get set up, please refer to Chapter 2, Implementing, Testing, and Deploying Basic Pipelines. If you already have everything working, then there is nothing new needed. Please make sure that you have cloned the book's GitHub repository from https://github.com/PacktPublishing/Building-Big-Data-Pipelines-with-Apache-Beam.

Now that we have everything set up, we can jump directly to solving our next puzzle!

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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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