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

Installing and configuring Apache Airflow

Apache Airflow performs the same role as Apache NiFi; however, it allows you to create your data flows using pure Python. If you are a strong Python developer, this is probably an ideal tool for you. It is currently one of the most popular open source data pipeline tools. What it lacks in a polished GUI – compared to NiFi – it more than makes up for in the power and freedom to create tasks.

Installing Apache Airflow can be accomplished using pip. But, before installing Apache Airflow, you can change the location of the Airflow install by exporting AIRFLOW_HOME. If you want Airflow to install to opt/airflow, export the AIRLFOW_HOME variable, as shown:

export AIRFLOW_HOME=/opt/airflow

The default location for Airflow is ~/airflow, and for this book, this is the location I will use. The next consideration before installing Airflow is to determine which sub-packages you want to install. If you do not specify any, Airflow...