Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

Tilmeldt april 2013

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  1. retweetede
    8. maj

    Windows support for + will come in the upcoming parquet-cpp 1.1.0 release

  2. retweetede
    23. maj

    Working on updating conda-forge and PyPI packages for pyarrow 0.4.0; will also include Windows support for . Stay tuned

  3. retweetede
    22. maj

    We have just released C++ 1.1.0 including Windows support and expanded Arrow type support

  4. retweetede
    16. maj
  5. retweetede
    15. maj

    Plus I get to work on projects like , , , and (and contribute, too!)

  6. retweetede
    4. maj
    Svarer og

    If you are at this weekend don't miss talking about and backing pandas

  7. retweetede
    4. maj

    Sun&Sat, I'll be at ,convince you about , show how helped us bring it to Pandas and enjoy good talks

  8. retweetede
    26. apr.

    Video of my talk at "Efficient data formats for analytics with and "

  9. retweetede
    25. apr.

    At : Efficient Columnar Storage w/ by Ranganathan Balashanmugam Join us!

  10. retweetede
    25. apr.

    A snapshot of some community OSS projects (pandas, , , and others) that we've gotten involved with

  11. retweetede
    21. apr.
  12. retweetede
    21. apr.

    Great breakdown on pros/cons of coumnar format for data at meetup.

  13. retweetede
    19. apr.

    At : Even Faster: When Presto Meets @ Uber by Zhenxiao Luo Join us!

  14. retweetede
    7. apr.

    If you use Dask and , other perspectives on this issue would be useful:

  15. retweetede
    30. mar.
    Svarer og

    on and is mind blowing .. great analytical speeds . Great file compression

  16. retweetede
    6. apr.

    Check out the awesome schedule of I'll talk about DataFrame storage with

  17. retweetede
    4. apr.

    Bringing file support for with , and fast distributed data processing with

  18. retweetede
    30. mar.

    can be so frustrating. But when you finally write to a file, it's so satisfying.

  19. retweetede
    31. mar.

    and : Why We Needed Different Projects for Columnar Data, On Disk and In-Memory

  20. retweetede
    30. mar.

    Software I would write if I had the time: a foreign data wrapper for files.

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