AI - Apache Arrow

Empowering big data systems with rapid data processing and transfer capabilities through the open-source Apache Arrow project and its in-memory analytics technologies.

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About Apache Arrow

Apache Arrow is an open-source project under the Apache Software Foundation, dedicated to developing in-memory analytics technologies. It offers a collection of components designed to enhance big data systems' ability to process and transfer data rapidly.

The project includes various major components:

  1. Apache Arrow: A development platform for in-memory analytics, providing C bindings using GLib, C# .NET libraries, Gandiva (an LLVM-based Arrow expression compiler), Go libraries, Java libraries, JavaScript libraries, Python libraries, R libraries, Ruby libraries, and Rust libraries.
  2. Feature Matrix: A resource that outlines the different stages of implementation for the official Arrow libraries and related features.
  3. Contribution Guide: Detailed instructions on how to contribute to Apache Arrow or Arrow integrations in other projects.
  4. Mailing List: A platform for users to join, share ideas, and discuss use cases for the project.
  5. GitHub Issues: A space where users can follow the team's progress on various development tasks.
  6. Learn the Format: Information about Arrow's in-memory data format.
  7. Reference Implementations: Code repositories where developers can contribute to various language-specific libraries.

Notable achievements and partnerships include collaborating with Chromium on fuzzing and contributing to various open-source initiatives.

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