Apache Parquet

@ApacheParquet

language agnostic, open source Columnar file format for analytics

Clárú: Aibreán 2013

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  1. Rinne Atweetáil
    8 Beal
    Replying to

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

  2. Rinne Atweetáil
    23 Beal

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

  3. Rinne Atweetáil
    22 Beal

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

  4. Rinne Atweetáil
    16 Beal
  5. Rinne Atweetáil
    15 Beal
    Replying to

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

  6. Rinne Atweetáil
    4 Beal

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

  7. Rinne Atweetáil
    4 Beal

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

  8. Rinne Atweetáil
    26 Aib

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

  9. Rinne Atweetáil
    25 Aib

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

  10. Rinne Atweetáil
    25 Aib
    Replying to

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

  11. Rinne Atweetáil
    21 Aib
  12. Rinne Atweetáil
    21 Aib

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

  13. Rinne Atweetáil
    19 Aib

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

  14. Rinne Atweetáil
    7 Aib

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

  15. Rinne Atweetáil
    30 Márta

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

  16. Rinne Atweetáil
    6 Aib

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

  17. Rinne Atweetáil
    4 Aib

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

  18. Rinne Atweetáil
    30 Márta

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

  19. Rinne Atweetáil
    31 Márta

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

  20. Rinne Atweetáil
    30 Márta

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

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