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Data Engineering with Python
book

Data Engineering with Python

by Paul Crickard
October 2020
Beginner to intermediate
356 pages
6h 50m
English
Packt Publishing
Content preview from Data Engineering with Python

Chapter 11: Building a Production Data Pipeline

In this chapter, you will build a production data pipeline using the features and techniques that you have learned in this section of the book. The data pipeline will be broken into processor groups that perform a single task. Those groups will be version controlled and they will use the NiFi variable registry so that they can be deployed in a production environment.

In this chapter, we're going to cover the following main topics:

  • Creating a test and production environment
  • Building a production data pipeline
  • Deploying a data pipeline in production

Creating a test and production environment

In this chapter, we will return to using PostgreSQL for both the extraction and loading of data. The data ...

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Publisher Resources

ISBN: 9781839214189Supplemental Content