Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

Registrerte seg april 2013

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  1. Retweetet
    8. mai

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

  2. 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. Retweetet
    22. mai

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

  4. Retweetet
    16. mai
  5. Retweetet
    15. mai

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

  6. Retweetet
    4. mai
    Svar til og

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

  7. 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. Retweetet
    26. apr.

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

  9. Retweetet
    25. apr.

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

  10. Retweetet
    25. apr.

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

  11. Retweetet
    21. apr.
  12. Retweetet
    21. apr.

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

  13. Retweetet
    19. apr.

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

  14. Retweetet
    7. apr.

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

  15. Retweetet
    30. mar.
    Svar til og

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

  16. Retweetet
    6. apr.

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

  17. Retweetet
    4. apr.

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

  18. Retweetet
    30. mar.

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

  19. Retweetet
    31. mar.

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

  20. Retweetet
    30. mar.

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

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