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You're reading from  In-Memory Analytics with Apache Arrow

Product typeBook
Published inJun 2022
PublisherPackt
ISBN-139781801071031
Edition1st Edition
Tools
Apache CamelApache Camel
Concepts
Big Data
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Author (1)
Matthew Topol
Matthew Topol
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Matthew Topol

Matthew Topol is an Apache Arrow contributor and a principal software architect at FactSet Research Systems, Inc. Since joining FactSet in 2009, Matt has worked in both infrastructure and application development, led development teams, and architected large-scale distributed systems for processing analytics on financial data. In his spare time, Matt likes to bash his head against a keyboard, develop and run delightfully demented games of fantasy for his victims—er—friends, and share his knowledge with anyone interested enough to listen.
Read more about Matthew Topol

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Summary

It doesn't matter what the shape or form of your data is, if you're going to be doing any sort of processing or manipulation of the data, then it pays to see whether Arrow can enhance your workflows. In this chapter, we've seen relational databases, analytical engines, and visualization libraries all powered by Apache Arrow. In each case, Arrow was being leveraged for a smaller memory footprint and generally better resource utilization than what had previously been done.

Every industry has a need for processing large amounts of data extremely quickly, from brand new scientific research to manufacturing metrics. If you are doing work with data processing, you can probably leverage Arrow somewhere in your pipeline. If you don't believe me, have a gander at the projects listed on the official Apache Arrow website as powered by Arrow: https://arrow.apache.org/powered_by/. You'll find every project mentioned in this chapter on that list, along with many...

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In-Memory Analytics with Apache Arrow
Published in: Jun 2022Publisher: PacktISBN-13: 9781801071031
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Matthew Topol

Matthew Topol is an Apache Arrow contributor and a principal software architect at FactSet Research Systems, Inc. Since joining FactSet in 2009, Matt has worked in both infrastructure and application development, led development teams, and architected large-scale distributed systems for processing analytics on financial data. In his spare time, Matt likes to bash his head against a keyboard, develop and run delightfully demented games of fantasy for his victims—er—friends, and share his knowledge with anyone interested enough to listen.
Read more about Matthew Topol

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