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

Summary

In this chapter, you learned how to create a Kafka cluster, which required the creation of a ZooKeeper cluster. While you ran all of the instances on a single machine, the steps you took will work on different servers too. Kafka allows the creation of real-time data streams and will require a different way of thinking than the batch processing you have been doing.

The next chapter will explain the concepts involved in streams in depth. You will also learn how to process streams in both NiFi and Python.

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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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