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

View More author details

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

Installing and configuring Apache NiFi

Apache NiFi is the primary tool used in this book for building data engineering pipelines. NiFi allows you to build data pipelines using prebuilt processors that you can configure for your needs. You do not need to write any code to get NiFi pipelines working. It also provides a scheduler to set how frequently you would like your pipelines to run. In addition, it will handle backpressure – if one task works faster than another, you can slow down the task.

To install Apache NiFi, you will need to download it from https://nifi.apache.org/download.html:

By using curl, you can download NiFi using the following command line:

curl https://mirrors.estointernet.in/apache/nifi/1.12.1/nifi-1.12.1-bin.tar.gz

Extract the NiFi files from the .tar.gz file using the following command:
```
tar xvzf nifi.tar.gz
```
You will now have a folder named nifi-1.12.1. You can run NiFi by executing the following from inside the folder:
```
 bin/nifi.sh start...
```