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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 Matthew Topol
Profile icon 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

Summary

If you need to transport data from one place to another, you should consider Arrow Flight as a possible solution for your server. Even without taking advantage of the parallelism it provides, it still shows that it is a significant improvement over most current ways to transport tabular data. Because it leverages Arrow's IPC format, it gains the benefits of avoiding serialization and deserialization costs. While it is currently built on gRPC using HTTP/2, there are many proposals to enable it to more easily support other networking configurations that may get traction.

During the course of this chapter, if you followed along, you created some simple Flight servers and clients. Let those serve as boilerplates for you. Build on them. Add more functionality to them. Explore the features and abilities that Flight provides and supports. If you work more on the data science side than on the developer side, try using Flight as a client to fetch data from engines such as Dremio...

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