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You're reading from  Data Engineering with Python

Product typeBook
Published inOct 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781839214189
Edition1st Edition
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Author (1)
Paul Crickard
Paul Crickard
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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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Summary

In this chapter, you learned how MiNiFi provides a means by which you can stream data to a NiFi instance. With MiNiFi, you can capture data from sensors, smaller devices such as a Raspberry Pi, or on regular servers where the data lives, without needing a full NiFi install. You learned how to set up and configure a remote processor group that allows you to talk to a remote NiFi instance.

In the Appendix, you will learn how you can cluster NiFi to run your data pipelines on different machines so that you can further distribute the load. This will allow you to reserve servers for specific tasks, or to spread large amounts of data horizontally across the cluster. By combining NiFi, Kafka, and Spark into clusters, you will be able to process more data than any single machine.

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Data Engineering with Python
Published in: Oct 2020Publisher: PacktISBN-13: 9781839214189

Author (1)

author image
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