ARROW-11860: [Rust] [DataFusion] Add DataFusion logos

I don't think this needs a JIRA?

These are the DataFusion logos that I had created before the project was donated to Apache Arrow. They weren't part of the source code repo so didn't get donated at the time.

<img width="330" alt="DataFusion-Logo-Light" src="https://user-images.githubusercontent.com/934084/109990656-d55ddf80-7cc6-11eb-8bbc-f21946fd1dfc.png">

<img width="330" alt="DataFusion-Logo-Dark" src="https://user-images.githubusercontent.com/934084/109990665-d68f0c80-7cc6-11eb-891c-bf367cb5f447.png">

Closes #9630 from andygrove/datafusion-logos

Authored-by: Andy Grove <andygrove@nvidia.com>
Signed-off-by: Andrew Lamb <andrew@nerdnetworks.org>
4 files changed
tree: 38e06ae735fc0300b73acd313ab4f1dcbf93dbf3
  1. .asf.yaml
  2. .clang-format
  3. .clang-tidy
  4. .clang-tidy-ignore
  5. .dir-locals.el
  6. .dockerignore
  7. .env
  8. .gitattributes
  9. .github/
  10. .gitignore
  11. .gitmodules
  12. .hadolint.yaml
  13. .pre-commit-config.yaml
  14. .readthedocs.yml
  15. .travis.yml
  16. CHANGELOG.md
  17. CODE_OF_CONDUCT.md
  18. CONTRIBUTING.md
  19. LICENSE.txt
  20. NOTICE.txt
  21. README.md
  22. appveyor.yml
  23. c_glib/
  24. ci/
  25. cmake-format.py
  26. cpp/
  27. csharp/
  28. dev/
  29. docker-compose.yml
  30. docs/
  31. format/
  32. go/
  33. header
  34. java/
  35. js/
  36. julia/
  37. matlab/
  38. python/
  39. r/
  40. ruby/
  41. run-cmake-format.py
  42. rust/
README.md

Apache Arrow

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Powering In-Memory Analytics

Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.

Major components of the project include:

Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.

What's in the Arrow libraries?

The reference Arrow libraries contain many distinct software components:

  • Columnar vector and table-like containers (similar to data frames) supporting flat or nested types
  • Fast, language agnostic metadata messaging layer (using Google's Flatbuffers library)
  • Reference-counted off-heap buffer memory management, for zero-copy memory sharing and handling memory-mapped files
  • IO interfaces to local and remote filesystems
  • Self-describing binary wire formats (streaming and batch/file-like) for remote procedure calls (RPC) and interprocess communication (IPC)
  • Integration tests for verifying binary compatibility between the implementations (e.g. sending data from Java to C++)
  • Conversions to and from other in-memory data structures
  • Readers and writers for various widely-used file formats (such as Parquet, CSV)

Implementation status

The official Arrow libraries in this repository are in different stages of implementing the Arrow format and related features. See our current feature matrix on git master.

How to Contribute

Please read our latest project contribution guide.

Getting involved

Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved: