You're reading from Data Engineering with Python Work with massive datasets to design data models and automate data pipelines using Python

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781839214189

Length 356 pages

Edition 1st Edition

Languages

Python

Concepts

Data Analysis

Author (1):

Paul Crickard

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Table of Contents (21) Chapters

Preface

1. Section 1: Building Data Pipelines – Extract Transform, and Load

2. Chapter 1: What is Data Engineering? FREE CHAPTER

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

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Appendix

Building a MiNiFi task in NiFi

In this section, you will build a data pipeline and deploy it to MiNiFi. The data pipeline will generate flow files and send them to NiFi. The next section will take this further and use a processor that is not included with MiNiFi.

To use MiNiFi, you will need an older version of NiFi. The current tool – 0.5.0 – breaks because of changes to properties output from the nifi template. It will be fixed in 0.6.0, but until then, you will need to use at least version 1.9.0 of NiFi. You can get older NiFi versions at https://archive.apache.org/dist/nifi/1.9.0/. Unzip NiFi using the tar command with the -xvzf flags. Place the folder in your home directory using mv or your file explorer tools.

You will also need an older version of Java. To install the correct version of Java, use the following command: