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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

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801071031
Length 392 pages
Edition 1st Edition
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Author (1):
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Matthew Topol Matthew Topol
Author Profile Icon Matthew Topol
Matthew Topol
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Toc

Table of Contents (16) Chapters Close

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

Chapter 10: How to Leave Your Mark on Arrow

So, you've got some ideas to make Arrow better, or maybe you've found a bug. Either way, you want to communicate your needs and ideas to the Arrow project and/or you want to contribute code changes upstream. Well, this chapter is a primer on how to go about doing so. Whether this is your first contribution to an open source project or you're a seasoned veteran, we're going to cover everything you'll need to know to make some contributions. Arrow, like any open source project, lives and dies through community involvement and developer usage. The more people that get involved, the better off the project will be.

Here's what we're going to cover in this chapter:

  • How to interact and contribute to open source projects, specifically Apache projects
  • The architecture of the Arrow repository, build scripts, and automation jobs
  • Finding something you can contribute
  • The life cycle of a pull request...
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