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Data Engineering with Python

You're reading from  Data Engineering with Python

Product type Book
Published in Oct 2020
Publisher Packt
ISBN-13 9781839214189
Pages 356 pages
Edition 1st Edition
Languages
Author (1):
Paul Crickard Paul Crickard
Profile icon Paul Crickard

Table of Contents (21) Chapters

Preface 1. Section 1: Building Data Pipelines – Extract Transform, and Load
2. Chapter 1: What is Data Engineering? 3. Chapter 2: Building Our Data Engineering Infrastructure 4. Chapter 3: Reading and Writing Files 5. Chapter 4: Working with Databases 6. Chapter 5: Cleaning, Transforming, and Enriching Data 7. Chapter 6: Building a 311 Data Pipeline 8. Section 2:Deploying Data Pipelines in Production
9. Chapter 7: Features of a Production Pipeline 10. Chapter 8: Version Control with the NiFi Registry 11. Chapter 9: Monitoring Data Pipelines 12. Chapter 10: Deploying Data Pipelines 13. Chapter 11: Building a Production Data Pipeline 14. Section 3:Beyond Batch – Building Real-Time Data Pipelines
15. Chapter 12: Building a Kafka Cluster 16. Chapter 13: Streaming Data with Apache Kafka 17. Chapter 14: Data Processing with Apache Spark 18. Chapter 15: Real-Time Edge Data with MiNiFi, Kafka, and Spark 19. Other Books You May Enjoy Appendix

Using git-persistence with the NiFi Registry

Just like software developers, you can also use Git to version control your data pipelines. The NiFi Registry allows you to use git-persistence with some configuration. To use Git with your data pipelines, you need to first create a repository.

Log in to GitHub and create a repository for your data pipelines. I have logged in to my account and have created the repository as shown in the following screenshot:

Figure 8.16 – Creating a GitHub repository

After creating a repository, you will need to create an access token for the registry to use to read and write to the repository. In the GitHub Settings, go to Developer settings, then Personal access tokens, then click the Generate a personal access token hyperlink shown in the following screenshot:

Figure 8.17 – The setting to create an access token

You can then add a note for the token so you can remember what service is using...

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