Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

parquet.io
Nisan 2013 tarihinde katıldı
2 Fotoğraf ve video Fotoğraflar ve videolar

Tweetler

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  1. Retweetledi
    8 May
    adlı kullanıcılara yanıt olarak

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

    3 retweet 9 beğenme
  2. Retweetledi
    23 May

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

    3 yanıt 3 retweet 14 beğenme
  3. Retweetledi
    22 May

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

    18 retweet 44 beğenme
  4. Retweetledi
    16 May

    Keen on learning how uses with

    2 retweet 4 beğenme
  5. Retweetledi
    15 May
    adlı kullanıcılara yanıt olarak

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

    3 retweet 4 beğenme
  6. Retweetledi
    4 May
    ve kişiye yanıt olarak

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

    2 retweet 4 beğenme
  7. Retweetledi
    4 May

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

    3 yanıt 6 retweet 8 beğenme
  8. Retweetledi
    26 Nis

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

    5 retweet 14 beğenme
  9. Retweetledi
    25 Nis

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

    3 retweet 1 beğenme
  10. Retweetledi
    25 Nis
    adlı kullanıcılara yanıt olarak

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

    11 retweet 24 beğenme
  11. Retweetledi
    21 Nis

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

    2 retweet 5 beğenme
  12. Retweetledi
    21 Nis

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

    2 retweet
  13. Retweetledi
    19 Nis

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

    4 retweet 2 beğenme
  14. Retweetledi
    7 Nis

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

    5 retweet 13 beğenme
  15. Retweetledi
    30 Mar
    ve kişiye yanıt olarak

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

    4 retweet 3 beğenme
  16. Retweetledi
    6 Nis

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

    5 retweet 5 beğenme
  17. Retweetledi
    4 Nis

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

    9 retweet 11 beğenme
  18. Retweetledi
    30 Mar

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

    9 retweet 11 beğenme
  19. Retweetledi
    31 Mar

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

    11 retweet 14 beğenme
  20. Retweetledi
    30 Mar

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

    4 retweet 8 beğenme

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