Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

parquet.io
Gått med april 2013
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  1. Retweetade
    8 maj
    Svar till

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

    3 retweets 9 gillanden
  2. Retweetade
    23 maj

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

    3 svar 3 retweets 14 gillanden
  3. Retweetade
    22 maj

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

    1 svara 18 retweets 44 gillanden
  4. Retweetade
    16 maj

    Keen on learning how uses with

    2 retweets 4 gillanden
  5. Retweetade
    15 maj
    Svar till

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

    3 retweets 4 gillanden
  6. Retweetade
    4 maj
    Svar till och

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

    2 retweets 4 gillanden
  7. Retweetade
    4 maj

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

    3 svar 6 retweets 8 gillanden
  8. Retweetade
    26 apr.

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

    5 retweets 14 gillanden
  9. Retweetade
    25 apr.

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

    3 retweets 1 gillande
  10. Retweetade
    25 apr.
    Svar till

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

    11 retweets 24 gillanden
  11. Retweetade
    21 apr.

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

    1 svara 2 retweets 5 gillanden
  12. Retweetade
    21 apr.

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

    2 retweets
  13. Retweetade
    19 apr.

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

    4 retweets 2 gillanden
  14. Retweetade
    7 apr.

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

    5 retweets 13 gillanden
  15. Retweetade
    30 mars
    Svar till och

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

    4 retweets 3 gillanden
  16. Retweetade
    6 apr.

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

    5 retweets 5 gillanden
  17. Retweetade
    4 apr.

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

    1 svara 9 retweets 11 gillanden
  18. Retweetade
    30 mars

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

    1 svara 9 retweets 11 gillanden
  19. Retweetade
    31 mars

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

    11 retweets 14 gillanden
  20. Retweetade
    30 mars

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

    1 svara 4 retweets 8 gillanden

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