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

Summary

In this chapter, you have learned how to use the NiFi GUI to monitor your data pipelines using the status bar, the bulletin, and counters. You also learned how to add processors that can send information to you inside your data pipeline. With the PutSlack processor, you were able to send yourself direct messages when there was a failure, and you passed data from the flowfile in the message with the NiFi expression language. Lastly, you learned how to use the API to write your own monitoring tools and grab the same data as is in the NiFi GUI—even reading the contents of a single flowfile.

In the next chapter, you will learn how to deploy your production pipelines. You will learn how to use processor groups, templates, versions, and variables to allow you to import data pipelines to a production NiFi instance with minimal configuration.

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Data Engineering with Python

Published in: Oct 2020Publisher: PacktISBN-13: 9781839214189

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.
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