Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

parquet.io
Participa desde abril de 2013
2 Fotos e vídeos Fotos e vídeos

Tweets

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  1. retweetou
    8 de mai
    Em resposta a

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

    3 retweets 9 curtiram
  2. retweetou
    23 de mai

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

    3 respostas 3 retweets 14 curtiram
  3. retweetou
    22 de mai

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

    1 resposta 18 retweets 44 curtiram
  4. retweetou
    16 de mai

    Keen on learning how uses with

    2 retweets 4 curtiram
  5. retweetou
    15 de mai
    Em resposta a

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

    3 retweets 4 curtiram
  6. retweetou
    4 de mai
    Em resposta a e

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

    2 retweets 4 curtiram
  7. retweetou
    4 de mai

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

    3 respostas 6 retweets 8 curtiram
  8. retweetou
    26 de abr

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

    5 retweets 14 curtiram
  9. retweetou
    25 de abr

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

    3 retweets 1 curtiu
  10. retweetou
    25 de abr
    Em resposta a

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

    11 retweets 24 curtiram
  11. retweetou
    21 de abr

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

    1 resposta 2 retweets 5 curtiram
  12. retweetou
    21 de abr

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

    2 retweets
  13. retweetou
    19 de abr

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

    4 retweets 2 curtiram
  14. retweetou
    7 de abr

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

    5 retweets 13 curtiram
  15. retweetou
    30 de mar
    Em resposta a e

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

    4 retweets 3 curtiram
  16. retweetou
    6 de abr

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

    5 retweets 5 curtiram
  17. retweetou
    4 de abr

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

    1 resposta 9 retweets 11 curtiram
  18. retweetou
    30 de mar

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

    1 resposta 9 retweets 11 curtiram
  19. retweetou
    31 de mar

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

    11 retweets 14 curtiram
  20. retweetou
    30 de mar

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

    1 resposta 4 retweets 8 curtiram

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