Scalding

@scalding

Scalding is a scala DSL for Cascading, running on Hadoop. It's concise and functional, and it's just good, clean fun.

The Interwebs (San Francisco)
github.com/twitter/scaldi…
Joined December 2011
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  1. Retweeted
    20 Dec 2019

    For me personally it was for sure.

    As the decade almost comes to a close, I wanted to ask the developer community: what has been the most transformative tool/process/workflow that originated in this decade (2010-2019)? The one that has had an outsized impact on your development process or your organization?
    2 retweets 10 likes
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  2. Retweeted
    24 Apr 2019

    That awkward moment when you’re at a Spark talk and the main takeaway is that Scalding is much better at doing this, just read the Scalding source code and implement it. 😅

    5 replies 3 retweets 34 likes
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  3. Retweeted
    13 Feb 2019

    . 's first line of the README is a classic of the genre: "Hadoop is a distributed system for counting words."

    4 retweets 8 likes
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  4. Retweeted
    11 Apr 2019

    When you forget how Executions work...

    6 replies 4 retweets 80 likes
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  5. Retweeted
    9 May 2018

    I thought had learnt what I mean when I look for I guess adding 'execution' made it more challenging

    1 retweet 10 likes
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  6. 9 May 2018

    😬

    I thought had learnt what I mean when I look for I guess adding 'execution' made it more challenging
    4 likes
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  7. Retweeted
    16 Apr 2018

    My attempt at rendering the logo in DAG.

    1 retweet 18 likes
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  8. 4 Mar 2018

    Scalding 0.18 is nearly here, the biggest release in years. This features a new optimizer backend which allows much more powerful job simplifications. It also enables a scala-only in-memory backend. The long awaited Spark backend will be in alpha:

    3 replies 17 retweets 39 likes
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  9. Retweeted
    2 Mar 2018

    The one and only will speak at on March 29. We need a big venue! Also, great FP+ML questions are always in order. We also hope to hear about for . Perhaps folks might be able to ask questions on of Algebird too!

    3 replies 7 retweets 16 likes
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  10. Retweeted
    20 Aug 2017

    Guide To High Performance Distributed Computing: Case Studies With Hadoop, Scalding A here @machinelearnbot

    8 retweets 11 likes
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  11. Retweeted
    30 Aug 2017

    Holding Scalding office hours while Abba's Mamma Mia is playing in the background is a fun experience.

    2 replies 2 retweets 9 likes
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  12. Retweeted
    15 Jun 2017
    Replying to and

    Thanks for joining " - less memory is more capacity" at The slides are here:

    3 retweets 4 likes
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  13. Retweeted
    24 May 2017

    Featran, aka feature transformer, featran77 or f77, a lib for feature eng on

    1 reply 14 retweets 22 likes
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  14. Retweeted
    4 May 2017

    Oh don't mind me, I'm just whispering "don't fail" over and over again to my job.

    1 reply 1 retweet 9 likes
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  15. 11 Apr 2017

    Scalding 0.17 released with support for scala 2.12. Thanks to for shepherding this release:

    9 retweets 12 likes
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  16. Retweeted
    21 Mar 2017

    Help us build the next-gen data platform at Twitter (using Scalding, Spark, Summingbird, Hadoop, Heron) -

    1 reply 34 retweets 35 likes
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  17. 13 Feb 2017

    Algebird 0.13.0 is out: scala 2.12 and typelevel cats/algebra compatibility!

    11 retweets 27 likes
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  18. Retweeted
    5 Jan 2017

    R is making in noises that I did not know were possible for humans to make humans, but my job might actually run so, net positive.

    1 retweet 6 likes
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