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In-Memory Analytics with Apache Arrow

You're reading from In-Memory Analytics with Apache Arrow Perform fast and efficient data analytics on both flat and hierarchical structured data

Product type Paperback

Published in Jun 2022

Publisher Packt

ISBN-13 9781801071031

Length 392 pages

Edition 1st Edition

Languages

C

Tools

Apache arrow

Concepts

Big Data

Author (1):

Matthew Topol

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: Overview of What Arrow Is, its Capabilities, Benefits, and Goals

2. Chapter 1: Getting Started with Apache Arrow FREE CHAPTER

3. Chapter 2: Working with Key Arrow Specifications

4. Chapter 3: Data Science with Apache Arrow

5. Section 2: Interoperability with Arrow: pandas, Parquet, Flight, and Datasets

6. Chapter 4: Format and Memory Handling

7. Chapter 5: Crossing the Language Barrier with the Arrow C Data API

8. Chapter 6: Leveraging the Arrow Compute APIs

9. Chapter 7: Using the Arrow Datasets API

10. Chapter 8: Exploring Apache Arrow Flight RPC

11. Section 3: Real-World Examples, Use Cases, and Future Development

12. Chapter 9: Powered by Apache Arrow

13. Chapter 10: How to Leave Your Mark on Arrow

14. Chapter 11: Future Development and Plans

15. Other Books You May Enjoy

References

Here's a list of the URL references we made in this chapter since there were quite a lot!

Apache Arrow documentation: https://arrow.apache.org/docs/
Apache License 2.0: https://apache.org/licenses/LICENSE-2.0
C++ Apache Arrow documentation: https://arrow.apache.org/docs/cpp/
C# documentation for Arrow: https://github.com/apache/arrow/blob/master/csharp/README.md
Golang documentation for Arrow: https://pkg.go.dev/github.com/apache/arrow/go/v7/arrow
Java documentation for Arrow: https://arrow.apache.org/docs/java/
JavaScript documentation for Arrow: https://arrow.apache.org/docs/js/
Julia documentation for Arrow: https://arrow.juliadata.org/stable/
Rust documentation for Arrow: https://docs.rs/crate/arrow/
Glib documentation for Arrow: https://arrow.apache.org/docs/c_glib/
MATLAB documentation for Arrow: https://github.com/apache/arrow/blob/master/matlab/README.md
Python documentation for Arrow: https://arrow.apache.org/docs/python/
R documentation for Arrow: https://arrow.apache.org/docs/r/
Ruby documentation for Arrow: https://github.com/apache/arrow/blob/master/ruby/README.md
Implementation matrix for Arrow features across languages: https://arrow.apache.org/docs/status.html
Documentation for using Conda: https://docs.conda.io/projects/conda/en/latest/index.html
Home page for Conda-Forge: https://conda-forge.org
Data type documentation for PyArrow: https://arrow.apache.org/docs/python/api/datatypes.html#api-types
Installation guide for MSYS2: https://www.msys2.org/#installation
Home page for Brew.sh: https://brew.sh/

You have been reading a chapter from

In-Memory Analytics with Apache Arrow

Published in: Jun 2022

Publisher: Packt

ISBN-13: 9781801071031

© 2022 Packt Publishing Limited All Rights Reserved

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Authors (1)

Matthew Topol

Matthew Topol

Matthew Topol is a member of the Apache Arrow Project Management Committee (PMC) and a staff software engineer at Voltron Data, Inc. Matt has worked in infrastructure, application development, and large-scale distributed system analytical processing for financial data. At Voltron Data, Matt's primary responsibilities have been working on and enhancing the Apache Arrow libraries and associated sub-projects. In his spare time, Matt likes to bash his head against a keyboard, develop and run delightfully demented fantasy games for his victims—er—friends, and share his knowledge and experience with anyone interested enough to listen.

See other products by Matthew Topol

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