Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

parquet.io
2013 اپریل کو شامل ہوئے
2 Photos and videos تصاویر اور ویڈیوز

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آپ نے @ApacheParquet کو بلاک کردیا

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  1. Retweeted
    8 مئی
    Replying to

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

    3 ریٹویٹس 9 likes
  2. Retweeted
    23 مئی

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

    3 جوابات 3 ریٹویٹس 14 likes
  3. Retweeted
    22 مئی

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

    1 جواب 18 ریٹویٹس 44 likes
  4. Retweeted
    16 مئی

    Keen on learning how uses with

    2 ریٹویٹس 4 likes
  5. Retweeted
    15 مئی
    Replying to

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

    3 ریٹویٹس 4 likes
  6. Retweeted
    4 مئی
    Replying to and

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

    2 ریٹویٹس 4 likes
  7. Retweeted
    4 مئی

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

    3 جوابات 6 ریٹویٹس 8 likes
  8. Retweeted
    26 اپریل

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

    5 ریٹویٹس 14 likes
  9. Retweeted
    25 اپریل

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

    3 ریٹویٹس 1 like
  10. Retweeted
    25 اپریل
    Replying to

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

    11 ریٹویٹس 24 likes
  11. Retweeted
    21 اپریل

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

    1 جواب 2 ریٹویٹس 5 likes
  12. Retweeted
    21 اپریل

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

    2 ریٹویٹس
  13. Retweeted
    19 اپریل

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

    4 ریٹویٹس 2 likes
  14. Retweeted
    7 اپریل

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

    5 ریٹویٹس 13 likes
  15. Retweeted
    30 مارچ
    Replying to and

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

    4 ریٹویٹس 3 likes
  16. Retweeted
    6 اپریل

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

    5 ریٹویٹس 5 likes
  17. Retweeted
    4 اپریل

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

    1 جواب 9 ریٹویٹس 11 likes
  18. Retweeted
    30 مارچ

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

    1 جواب 9 ریٹویٹس 11 likes
  19. Retweeted
    31 مارچ

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

    11 ریٹویٹس 14 likes
  20. Retweeted
    30 مارچ

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

    1 جواب 4 ریٹویٹس 8 likes

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