Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

Регистриран през април 2013 г.

Туитове

Блокираш @ApacheParquet

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  1. ретуитна
    8.05
    В отговор до

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

  2. ретуитна
    23.05

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

  3. ретуитна
    22.05

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

  4. ретуитна
    16.05
  5. ретуитна
    15.05
    В отговор до

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

  6. ретуитна
    4.05
    В отговор до и още

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

  7. ретуитна
    4.05

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

  8. ретуитна
    26.04

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

  9. ретуитна
    25.04

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

  10. ретуитна
    25.04
    В отговор до

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

  11. ретуитна
    21.04
  12. ретуитна
    21.04

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

  13. ретуитна
    19.04

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

  14. ретуитна
    7.04

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

  15. ретуитна
    30.03
    В отговор до и още

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

  16. ретуитна
    6.04

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

  17. ретуитна
    4.04

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

  18. ретуитна
    30.03

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

  19. ретуитна
    31.03

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

  20. ретуитна
    30.03

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

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