Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

parquet.io
Bergabung April 2013
2 Foto dan video Foto dan video

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  1. me-Retweet
    8 Mei
    Membalas

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

    3 retweet 9 suka
  2. me-Retweet
    23 Mei

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

    3 balasan 3 retweet 14 suka
  3. me-Retweet
    22 Mei

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

    1 balasan 18 retweet 44 suka
  4. me-Retweet
    16 Mei

    Keen on learning how uses with

    2 retweet 4 suka
  5. me-Retweet
    15 Mei
    Membalas

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

    3 retweet 4 suka
  6. me-Retweet
    4 Mei
    Membalas dan

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

    2 retweet 4 suka
  7. me-Retweet
    4 Mei

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

    3 balasan 6 retweet 8 suka
  8. me-Retweet
    26 Apr

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

    5 retweet 14 suka
  9. me-Retweet
    25 Apr

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

    3 retweet 1 suka
  10. me-Retweet
    25 Apr
    Membalas

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

    11 retweet 24 suka
  11. me-Retweet
    21 Apr

    Thank you markchua [1] for upgrading to protobuf 3 [1]

    1 balasan 2 retweet 5 suka
  12. me-Retweet
    21 Apr

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

    2 retweet
  13. me-Retweet
    19 Apr

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

    4 retweet 2 suka
  14. me-Retweet
    7 Apr

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

    5 retweet 13 suka
  15. me-Retweet
    30 Mar
    Membalas dan

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

    4 retweet 3 suka
  16. me-Retweet
    6 Apr

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

    5 retweet 5 suka
  17. me-Retweet
    4 Apr

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

    1 balasan 9 retweet 11 suka
  18. me-Retweet
    30 Mar

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

    1 balasan 9 retweet 11 suka
  19. me-Retweet
    31 Mar

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

    11 retweet 14 suka
  20. me-Retweet
    30 Mar

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

    1 balasan 4 retweet 8 suka

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