SQL, every mention
8 scenes (2019) · ← back to SQL
tap a year for its mentions
every year 2019 anyone Matt Turck 17Paul Dix 9Nitay Joffe 7Tristan Handy 5Daniel Chia 5Ben Rogojan (Seattle Data Guy) 5Anthony Deighton 5Nate Stewart 4Florian Douetteau 4Sridhar Ramaswamy 3
Verbatim, from the transcripts: the passages where SQL comes up
How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
- ▶ 8:34 Ahmed Elsamadisi And the query, a little bit complicated unless you know SQL, but it's actually really simple. 2 times in the scene
What's Next for Open-Source Time Series Data? // Paul Dix, Influx Data (FirstMark's Data Driven NYC)
- ▶ 11:05 Paul Dix Uh, so we created, uh, for the database, we created a query language, um, which, uh, looks kind of like SQL. 2 times in the scene
- ▶ 21:25 Paul Dix so I, there were a couple of, like, we could have said, like, we'll just go with SQL, because that's a language that exists. 4 times in the scene
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 10:22 Solmaz Shahalizadeh Like, we, we have this, uh, we use mode analytics for, like, SQL.
The Case for Hiring More Analysts // Benn Stancil, Mode (FirstMark's Data Driven NYC)
- ▶ 18:24 Benn Stancil Um, and so, I think, yeah, at the end of the day, they're gonna need SQL skills, they're gonna, they might need Python or R skills, they'll need something like Excel, um, but those things are, are learnable, whereas I think, like, the way…
Dynamic Range Sharding with Spanner // Daniel Chia, Google Spanner (FirstMark's Data Driven NYC)
- ▶ 3:14 Daniel Chia So we create a SQL table.
- ▶ 7:48 Daniel Chia So now when we want to answer this earlier SQL query, you know, we can look at the query and say, aha, we are only looking at all rows that have singer ID three.
- ▶ 9:32 Daniel Chia So let's look again at the SQL query from earlier. 3 times in the scene