Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

Beigetreten April 2013

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  1. hat retweetet
    8. Mai

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

  2. hat retweetet
    23. Mai

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

  3. hat retweetet
    22. Mai

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

  4. hat retweetet
    16. Mai
  5. hat retweetet
    15. Mai

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

  6. hat retweetet
    4. Mai
    Antwort an und

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

  7. hat retweetet
    4. Mai

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

  8. hat retweetet
    26. Apr.

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

  9. hat retweetet
    25. Apr.

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

  10. hat retweetet
    25. Apr.
    Antwort an

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

  11. hat retweetet
    21. Apr.
  12. hat retweetet
    21. Apr.

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

  13. hat retweetet
    19. Apr.

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

  14. hat retweetet
    7. Apr.

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

  15. hat retweetet
    30. März
    Antwort an und

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

  16. hat retweetet
    6. Apr.

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

  17. hat retweetet
    4. Apr.

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

  18. hat retweetet
    30. März

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

  19. hat retweetet
    31. März

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

  20. hat retweetet
    30. März

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

Das Laden scheint etwas zu dauern.

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