SQL, every mention
5 scenes (2024) · ← back to SQL
tap a year for its mentions
every year 2024 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
Dataiku's Secret to Scaling AI in Global Enterprises | Florian Douetteau, CEO, Dataiku
- ▶ 15:38 Florian Douetteau And indeed, early adopters of big data technologies were clear that they could not build everything on top of SQL queries in Hadoop.
Building The Database That Can Do It All | Tobie Morgan Hitchcock, CEO of SurrealDB
- ▶ 15:10 Tobie Morgan Hitchcock Um, I think the interesting thing that people find when they come to CyrilDB, because you have graph databases out there, and you have document databases, and you have time series databases, um, or just to add to that, you can also query… 2 times in the scene
Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
- ▶ 8:28 Mike Freedman But because it's in a database, you could continue to do rich filtering in SQL, on your metadata, on time, on geospatial information, or based on tenant permissions, all which is normally very difficult in vector space.
The $9B Startup Going After Snowflake and Databricks | Renen Hallak, CEO of VAST Data
- ▶ 15:55 Renen Hallak You can write a parquet object and then query it using SQL natively off of our platform without needing any higher layers on top.
Is AI a platform shift or a paradigm shift? With Benedict Evans
- ▶ 3:52 Benedict Evans and so you could go back and talk about, like, SQL, and say, like, imagine explaining SQL to a supermarket in the late seventies, it would not be obvious why this was useful, or what the, what you're going to be able to do with this stuff,… 2 times in the scene