Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

Vrijeme pridruživanja: travanj 2013.

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  1. proslijedio/la je Tweet
    8. svi
    Odgovor korisnicima

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

  2. proslijedio/la je Tweet
    23. svi

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

  3. proslijedio/la je Tweet
    22. svi

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

  4. proslijedio/la je Tweet
    16. svi
  5. proslijedio/la je Tweet
    15. svi
    Odgovor korisnicima

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

  6. proslijedio/la je Tweet
    4. svi
    Odgovor korisnicima i sljedećem broju korisnika:

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

  7. proslijedio/la je Tweet
    4. svi

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

  8. proslijedio/la je Tweet
    26. tra

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

  9. proslijedio/la je Tweet
    25. tra

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

  10. proslijedio/la je Tweet
    25. tra
    Odgovor korisnicima

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

  11. proslijedio/la je Tweet
    21. tra
  12. proslijedio/la je Tweet
    21. tra

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

  13. proslijedio/la je Tweet
    19. tra

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

  14. proslijedio/la je Tweet
    7. tra

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

  15. proslijedio/la je Tweet
    30. ožu
    Odgovor korisnicima i sljedećem broju korisnika:

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

  16. proslijedio/la je Tweet
    6. tra

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

  17. proslijedio/la je Tweet
    4. tra

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

  18. proslijedio/la je Tweet
    30. ožu

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

  19. proslijedio/la je Tweet
    31. ožu

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

  20. proslijedio/la je Tweet
    30. ožu

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

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