You're reading from Data Engineering with Python

Product typeBook

Published inOct 2020

Reading LevelBeginner

PublisherPackt

ISBN-139781839214189

Edition1st Edition

Languages

Python

Concepts

Data Analysis

Author (1)

Paul Crickard

Section 2:Deploying Data Pipelines in Production

Section 2 builds on what you have learned and teaches you the features of production data pipelines. You will learn techniques that are similar to software engineering, such as versioning, monitoring, and logging. With these skills, you will be able to not only build, but also manage production data pipelines. Lastly, you will learn how to deploy your data pipelines in a production environment.

This section comprises the following chapters:

Chapter 7, Features of a Production Data Pipeline
Chapter 8, Version Control Using the NiFi Registry
Chapter 9, Monitoring and Logging Data Pipelines
Chapter 10, Deploying Your Data Pipelines
Chapter 11, Building a Production Data Pipeline

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Data Engineering with Python

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Author (1)

Paul Crickard

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.
Read more about Paul Crickard

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