SQL, every mention
4 scenes (2015) · ← 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 2015 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
Anthony Deighton, Qlik: Top 10 Requirements For Visual Analytics (Hosted by FirstMark Capital)
- ▶ 4:27 Anthony Deighton Um, and one of the challenges we have is that we try to resolve all of these questions into SQL queries. 5 times in the scene
Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
- ▶ 9:35 Bob Muglia They struggle a lot with it in trying to figure out how to handle it, but what we've done is focus on reinventing that and making it much more straightforward to issue a relational query, a SQL query against it.
Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
- ▶ 10:03 Paul Dix So for this, we actually created our own kind of query language, and we took SQL and bastardized it for, for our own purposes.
- ▶ 17:28 Paul Dix Um, basically, if you're, for a SQL database, for instance, like, the, the most basic way to create time series data in SQL is, like, to have a measurement name and a timestamp and indexed by both of those. 2 times in the scene