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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

Summary

For this foray into the Arrow libraries, we’ve explored the efficient sharing of data between libraries using the Arrow C data interface. We covered the various structures utilized for passing the data between systems and went through various code examples showing how to do it, including utilizing the data on non-CPU devices. Remember that the motivation for this interface was for zero-copy data sharing between components of the same running process. It’s not intended for the C data API itself to mimic the features available in higher-level languages such as C++ or Python – just to share data. In addition, if you’re sharing between different processes or need persistent storage, you should be using the Arrow IPC format that we covered in Chapter 3, Format and Memory Handling. At this point, we’ve covered lots of ways to read, write, and transfer Arrow data. However, once you have the data in memory, you’re going to want to perform operations...

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