Practical AI – Episode #292

Big data is dead, analytics is alive

with Till Döhmen & Adithya Krishnan from MotherDuck

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We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lighting fast analytics queries against a variety of data sources, even on your laptop! Along the way we dig into the intersections with AI, such as text-to-sql, vector search, and AI-driven SQL query correction.

Featuring

Sponsors

Fly.ioThe home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes.

Timescale – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything.

Notion – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs.

Notes & Links

📝 Edit Notes

Chapters

1 00:00 Welcome to Practical AI 00:34
2 00:35 Sponsor: Fly.io 03:31
3 04:19 Struggling with big data 04:28
4 08:47 This is the way 03:16
5 12:03 Introducing DuckDB 02:09
6 14:12 What is in-process? 02:46
7 17:03 Sponsor: Timescale 02:17
8 19:35 Uses for DuckDB 03:05
9 22:41 Embedded environments & the edge 01:15
10 23:55 Standardizing fast interfaces 04:41
11 28:36 Vector search 02:08
12 30:55 Sponsor: Notion 02:03
13 33:05 Bringing MotherDuck to the cloud 02:57
14 36:02 Problems solved 02:57
15 38:59 Cloud & local compatibility 01:42
16 40:42 What makes it appealing? 03:02
17 43:43 New cool things 04:59
18 48:42 Thanks for joining us! 00:50
19 49:32 Outro 00:46

Transcript

⏰ Coming Soon

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