SQL, every mention
12 scenes (2022) · ← back to SQL
tap a year for its mentions
the MAD Podcast 112
Latent Space 24
the a16z Podcast 17
Lenny's Podcast 15
the Y Combinator Startup Podcast 10
No Priors 7
20VC 5
Top Founders 412 more shows
every year 2022 every show the MAD Podcast 112 Latent Space 24 the a16z Podcast 17 Lenny's Podcast 15 the Y Combinator Startup Podcast 10 No Priors 7 20VC 5 Top Founders 4 
In Depth 3 
Another Podcast 3 
the Official SaaStr Podcast 3 
Acquired 2 
Cheeky Pint 2 
American Optimist 2 
the Green Blueprint 2 
Innovators & Investors 1 
Startups For the Rest of Us 1 
We Live to Build 1 
the Startup Ideas Podcast 1 
Sourcery 1
Verbatim, from the transcripts: passages where SQL comes up on the MAD Podcast, Latent Space, the a16z Podcast, Lenny's Podcast, the Y Combinator Startup Podcast
ChatGPT and the Imagenet Moment
- ▶ 3:23 Benedict Evans And the way that I described this, in fact, I described it to, to Tesco was, like, imagine it's 1980, and I'm explaining SQL to you, and I say, so this is going to make it really easy to do arbitrary queries on your data, and they would…
- ▶ 4:30 Benedict Evans And meanwhile, unlike SQL, however, you have this continued primary research, and this continued primary research has produced this new thing,
Being Mario Was the Only Way We Survived Level One
- ▶ 45:53 Bryan Clayton And so, like, just having that triple R for Thursday holds me accountable to, to, to run the SQL queries and to understand, and to really dig into the data and understand, okay, actually this, this, this experiment that we're running is…
Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
- ▶ 5:02 Viraj Parekh Um, what that really looks like for them is productionizing SQL queries and making sure new data is inside the warehouse. 2 times in the scene
- ▶ 18:12 Pete DeJoy So I can see both my tasks, i.e. those SQL queries and Python functions I just ran, predict user trends, and I can introspect the tables that they're actually producing in my snowflake instance under the hood.
Automated Data Discovery | Select Star's Shinji Kim
- ▶ 4:06 Shinji Kim A lot of technical users and data analysts and engineers also ending up spending a lot of time, um, just searching through different SQL queries and trying to find, like, how this table was created, for example.
Flooring engineers builds tool for himself, breaks $11k MRR as 1 person team
Building Real-Time Data Pipelines | Estuary's Johnny Graettinger
- ▶ 6:13 Johnny Graettinger I'm just gonna uppercase every other one, ah, through SQL. 2 times in the scene
The Next Layer of the Modern Data Stack | dbt's Tristan Handy
- ▶ 23:58 Tristan Handy I get the impression that, that dbt is pushing the idea of, of SQL first when you think about how you write your data transformations, which, which feels at odds with trying to build abstraction layers on top of SQL, because with dbt,… 4 times in the scene
20VC: Scaling to $2BN AUM in 3 years, Fundraising Lessons and Tactics from 2,500 LP Meetings & What it Takes to Build a Firm That Stands the Test of Time with Harley Miller, Co-Founder and Managing Partner @ Left Lane Capital
- ▶ 12:19 Harley Miller Every single person that works with us at Left Land on the investment team is trained on how to use SQL, how to use Alteryx.
How the Renaissance Sparked an Entrepreneurial Explosion with Jeannette zu Fürstenberg · Joe Lonsdale
- ▶ 16:29 Jeannette zu Fürstenberg And we have one company that basically, um, does, does, um, build a data infrastructure product, but they basically have an interface that allows for SQL and low code to run in parallel. 2 times in the scene
Fireside Chat: Emil Eifrem (Co-Founder & CEO, Neo4j) with Matt Turck (Partner, FirstMark)
- ▶ 13:20 Matt Turck Uh, and, uh, I'm just curious how that compares to SQL, which is really the language that sort of everybody knows for databases. 10 times in the scene