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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.
Read more about Paul Crickard

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Summary

In this chapter, you learned the basics of working with Apache Spark. First, you downloaded and installed Spark and configured PySpark to run in Jupyter notebooks. You also learned how to scale Spark horizontally by adding nodes. Spark uses DataFrames similar to those used in pandas. The last section taught you the basics of manipulating data in Spark.

In the next chapter, you will use Spark with Apache MiNiFi to move data at the edge or on Internet-of-Things devices.

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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