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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
Concepts
Author (1):
Paul Crickard Paul Crickard
Profile icon Paul Crickard
LinkedIn
Paul Crickard authored a book on the Leaflet JavaScript module. He has been programming for over 15 years and has focused on GIS and geospatial programming for 7 years. He spent 3 years working as a planner at an architecture firm, where he combined GIS with Building Information Modeling (BIM) and CAD. Currently, he is the CIO at the 2nd Judicial District Attorney's Office in New Mexico.
See other products by 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

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:

  1. 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
  2. Extract the NiFi files from the .tar.gz file using the following command:
    tar xvzf nifi.tar.gz
  3. 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...
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Authors (1)

Profile icon Paul Crickard
LinkedIn
Paul Crickard authored a book on the Leaflet JavaScript module. He has been programming for over 15 years and has focused on GIS and geospatial programming for 7 years. He spent 3 years working as a planner at an architecture firm, where he combined GIS with Building Information Modeling (BIM) and CAD. Currently, he is the CIO at the 2nd Judicial District Attorney's Office in New Mexico.
See other products by Paul Crickard

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