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In-Memory Analytics with Apache Arrow

You're reading from   In-Memory Analytics with Apache Arrow Accelerate data analytics for efficient processing of flat and hierarchical data structures

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781835461228
Length 406 pages
Edition 2nd Edition
Languages
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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 (18) Chapters Close

Preface 1. Part 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: Format and Memory Handling 5. Part 2: Interoperability with Arrow: The Power of Open Standards
6. Chapter 4: Crossing the Language Barrier with the Arrow C Data API 7. Chapter 5: Acero: A Streaming Arrow Execution Engine 8. Chapter 6: Using the Arrow Datasets API 9. Chapter 7: Exploring Apache Arrow Flight RPC 10. Chapter 8: Understanding Arrow Database Connectivity (ADBC) 11. Chapter 9: Using Arrow with Machine Learning Workflows 12. Part 3: Real-World Examples, Use Cases, and Future Development
13. Chapter 10: Powered by Apache Arrow 14. Chapter 11: How to Leave Your Mark on Arrow 15. Chapter 12: Future Development and Plans 16. Index 17. Other Books You May Enjoy

Would you download a library? Of course!

As mentioned previously, the Arrow project contains a variety of libraries for multiple programming languages. These official libraries enable anyone to work with Arrow data without having to implement the Arrow format themselves, regardless of the platform and programming language they are utilizing. There are two primary types of libraries that exist so far: ones that are distinct implementations of the Arrow specification, and ones that are built on other implementations. At the time of writing this book, there are implementations for Arrow in C++ [3], C# [4], Go [5], Java [6], JavaScript [7], Julia [8], and Rust [9], all of which are distinct implementations.

On top of those, there are libraries for C (Glib) [10], MATLAB [11], Python [12], R [13], and Ruby [14], all of which are built on top of the C++ library, which happens to have the most active development. As you might expect, the various implementations all have different stages...

You have been reading a chapter from
In-Memory Analytics with Apache Arrow - Second Edition
Published in: Sep 2024
Publisher: Packt
ISBN-13: 9781835461228
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