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avibryant's profile
Avi Bryant
Avi Bryant
Avi Bryant
@avibryant

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Avi Bryant

@avibryant

Happiest when working on Random Forests from random beaches.

Galiano Island
avibryant.com
Joined November 2006

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    Avi Bryant‏ @avibryant 1 Aug 2016

    A surprising amount of work at Stripe involves sharing results from ad-hoc SQL queries. (Not just on eng teams, either). How common is this?

    5:09 PM - 1 Aug 2016
    • 36 Likes
    • Greg Reda Arik Fraimovich Dylan Richard Greg Kuhlmann Jimmy Wang Ben Matasar Joshua Lande Brian David Eoff
    23 replies 0 retweets 36 likes
      1. New conversation
      2. Avi Bryant‏ @avibryant 1 Aug 2016
        Replying to @avibryant

        I suspect this is amplified by some great tooling that @jeffbalogh & co built to, eg, expand plots inline in Slack, but would happen anyway.

        5 replies 1 retweet 3 likes
      3. Jeff Balogh‏ @jeffbalogh 1 Aug 2016
        Replying to @avibryant

        "would happen anyway" thx boss

        0 replies 0 retweets 7 likes
      4. End of conversation
      1. New conversation
      2. Avi Bryant‏ @avibryant 1 Aug 2016
        Replying to @avibryant

        In my replies, overwhelmingly: yes, this is common. I'm very curious about the shift from spreadsheets to this for adhoc quantitative data.

        4 replies 0 retweets 2 likes
      3. Avi Bryant‏ @avibryant 1 Aug 2016
        Replying to @avibryant

        On the one hand, access to huge pools of production data is great. OTOH, even the best BI systems are anemic programming systems vs Excel.

        4 replies 0 retweets 6 likes
      4. Matthew McEachen‏ @mrm 1 Aug 2016
        Replying to @avibryant

        if only some team could make an accessible spreadsheet on the web they could dabble with

        1 reply 0 retweets 8 likes
      5. 1 more reply
      1. New conversation
      2. Beau Cronin‏ @beaucronin 1 Aug 2016
        Replying to @avibryant

        this is what drove us to @LookerData - expensive, but makes that scalable and productive

        2 replies 0 retweets 0 likes
      3. Avi Bryant‏ @avibryant 1 Aug 2016
        Replying to @beaucronin

        impression is that @LookerData is tuned more towards long-lived dashboards, and maybe lightweight exploration, vs adhoc queries?

        3 replies 0 retweets 1 like
      4. Beau Cronin‏ @beaucronin 1 Aug 2016
        Replying to @avibryant

        no, I actually think the ad hoc queries are its strength once you invest in the data modeling

        1 reply 0 retweets 0 likes
      5. Avi Bryant‏ @avibryant 1 Aug 2016
        Replying to @beaucronin

        to be precise, at that point you're not actually writing SQL, right? But letting Looker generate it.

        1 reply 0 retweets 1 like
      6. Beau Cronin‏ @beaucronin 1 Aug 2016
        Replying to @avibryant

        yes exactly. It's very good at that - basically allows me to responsibly remain a SQL amateur. Awesome for lean teams.

        1 reply 0 retweets 0 likes
      7. Peadar Coyle‏ @Springcoil 26 Sep 2016
        Replying to @beaucronin @avibryant

        My experience of various companies is that sharing ad hoc SQL adds a lot of value. Lots of questions are counting...

        0 replies 0 retweets 1 like
      8. End of conversation
      1. New conversation
      2. niels‏ @niels 2 Aug 2016
        Replying to @avibryant

        you should get some @ApacheZeppelin up in there

        1 reply 0 retweets 2 likes
      3. Prasad Wagle‏ @prasadwagle 2 Aug 2016
        Replying to @niels @avibryant @ApacheZeppelin

        sharing SQL is the most common Zeppelin use case at Twitter http://www.slideshare.net/prasadwagle/zeppelin-at-twitter-62171116?next_slideshow=1 … & works with scalding!

        0 replies 5 retweets 8 likes
      4. End of conversation
      1. asymptotically matt‏ @mhat 2 Aug 2016
        Replying to @avibryant

        Very: Pal at FB, Pensive at Disney, Airpal at Airbnb, Avocado at Yammer/MSFT. That's why we left Yammer & created @ModeAnalytics

        0 replies 0 retweets 3 likes
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      1. Maurício Maia‏ @mauricio 1 Aug 2016
        Replying to @avibryant

        @PeriscopeData (saas), @metabase (oss) and redash (oss) are some of the options

        0 replies 0 retweets 2 likes
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      1. New conversation
      2. Camille Fournier‏Verified account @skamille 1 Aug 2016
        Replying to @avibryant

        very

        1 reply 0 retweets 2 likes
      3. 1 more reply
      1. Ryan Kartzke‏ @Kartzke 3 Aug 2016
        Replying to @avibryant

        this was one of my standout skills at my last job. SQL was like a super power

        0 replies 0 retweets 1 like
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      1. Melanie‏ @melg 2 Aug 2016
        Replying to @avibryant

        Extremely common at Clover. We use Mode Analytics, which is fantastic and pure SQL.

        0 replies 0 retweets 1 like
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