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

Product typeBook
Published inJun 2022
PublisherPackt
ISBN-139781801071031
Edition1st Edition
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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.
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Technical requirements

After we go through the explanations and definitions, we're going to create an Arrow Flight server and client together. You might also want to try replicating the results of some performance testing too. To do this, you'll need the following:

  • An internet-connected computer
  • The usual suspects for your language of choice:
    • Go 1.16+
    • Python 3.x with the pyarrow module installed
    • Your preferred IDE
  • (Optionally) Docker installed on your machine:
    • Docker Desktop if on Windows.
    • See the Apache Spark section of Chapter 3, Data Science with Apache Arrow, for instructions on installing Docker.
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In-Memory Analytics with Apache Arrow
Published in: Jun 2022Publisher: PacktISBN-13: 9781801071031

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