I suspect this is amplified by some great tooling that @jeffbalogh & co built to, eg, expand plots inline in Slack, but would happen anyway.
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"would happen anyway" thx boss
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In my replies, overwhelmingly: yes, this is common. I'm very curious about the shift from spreadsheets to this for adhoc quantitative data.
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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.
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if only some team could make an accessible spreadsheet on the web they could dabble with
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this is what drove us to
@LookerData - expensive, but makes that scalable and productive -
impression is that
@LookerData is tuned more towards long-lived dashboards, and maybe lightweight exploration, vs adhoc queries? -
no, I actually think the ad hoc queries are its strength once you invest in the data modeling
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to be precise, at that point you're not actually writing SQL, right? But letting Looker generate it.
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yes exactly. It's very good at that - basically allows me to responsibly remain a SQL amateur. Awesome for lean teams.
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My experience of various companies is that sharing ad hoc SQL adds a lot of value. Lots of questions are counting...
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you should get some
@ApacheZeppelin up in there -
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!
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Very: Pal at FB, Pensive at Disney, Airpal at Airbnb, Avocado at Yammer/MSFT. That's why we left Yammer & created
@ModeAnalyticsThanks. Twitter will use this to make your timeline better. UndoUndo
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@PeriscopeData (saas),@metabase (oss) and redash (oss) are some of the optionsThanks. Twitter will use this to make your timeline better. UndoUndo
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this was one of my standout skills at my last job. SQL was like a super power
Thanks. Twitter will use this to make your timeline better. UndoUndo
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Extremely common at Clover. We use Mode Analytics, which is fantastic and pure SQL.
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