Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

Se unió en abril de 2013

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  1. retwitteó
    8 may.
    En respuesta a

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

  2. retwitteó
    23 may.

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

  3. retwitteó
    22 may.

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

  4. retwitteó
    16 may.
  5. retwitteó
    15 may.
    En respuesta a

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

  6. retwitteó
    4 may.
    En respuesta a y a

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

  7. retwitteó
    4 may.

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

  8. retwitteó
    26 abr.

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

  9. retwitteó
    25 abr.

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

  10. retwitteó
    25 abr.
    En respuesta a

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

  11. retwitteó
    21 abr.
  12. retwitteó
    21 abr.

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

  13. retwitteó
    19 abr.

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

  14. retwitteó
    7 abr.

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

  15. retwitteó
    30 mar.
    En respuesta a y a

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

  16. retwitteó
    6 abr.

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

  17. retwitteó
    4 abr.

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

  18. retwitteó
    30 mar.

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

  19. retwitteó
    31 mar.

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

  20. retwitteó
    30 mar.

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

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