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In-Memory Analytics with Apache Arrow

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

Product type Book

Published in Jun 2022

Publisher Packt

ISBN-13 9781801071031

Pages 392 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Matthew Topol

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

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

Download the example code files

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Authors (1)

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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