Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

parquet.io
2013(e)ko apirilak(e)tik Twitterren
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  1. (e)k Bertxiotua
    mai. 8
    Replying to

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

    3 bertxio 9 atsegin
  2. (e)k Bertxiotua
    mai. 23

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

    3 erantzun 3 bertxio 14 atsegin
  3. (e)k Bertxiotua
    mai. 22

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

    Erantzun 1 18 bertxio 44 atsegin
  4. (e)k Bertxiotua
    mai. 16

    Keen on learning how uses with

    2 bertxio 4 atsegin
  5. (e)k Bertxiotua
    mai. 15
    Replying to

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

    3 bertxio 4 atsegin
  6. (e)k Bertxiotua
    mai. 4
    Replying to and

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

    2 bertxio 4 atsegin
  7. (e)k Bertxiotua
    mai. 4

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

    3 erantzun 6 bertxio 8 atsegin
  8. (e)k Bertxiotua
    api. 26

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

    5 bertxio 14 atsegin
  9. (e)k Bertxiotua
    api. 25

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

    3 bertxio Atsegin 1
  10. (e)k Bertxiotua
    api. 25
    Replying to

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

    11 bertxio 24 atsegin
  11. (e)k Bertxiotua
    api. 21

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

    Erantzun 1 2 bertxio 5 atsegin
  12. (e)k Bertxiotua
    api. 21

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

    2 bertxio
  13. (e)k Bertxiotua
    api. 19

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

    4 bertxio 2 atsegin
  14. (e)k Bertxiotua
    api. 7

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

    5 bertxio 13 atsegin
  15. (e)k Bertxiotua
    mar. 30
    Replying to and

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

    4 bertxio 3 atsegin
  16. (e)k Bertxiotua
    api. 6

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

    5 bertxio 5 atsegin
  17. (e)k Bertxiotua
    api. 4

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

    Erantzun 1 9 bertxio 11 atsegin
  18. (e)k Bertxiotua
    mar. 30

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

    Erantzun 1 9 bertxio 11 atsegin
  19. (e)k Bertxiotua
    mar. 31

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

    11 bertxio 14 atsegin
  20. (e)k Bertxiotua
    mar. 30

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

    Erantzun 1 4 bertxio 8 atsegin

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