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Big data is dead, analytics is alive episode artwork

Oct 24, 2024 50 min

Big data is dead, analytics is alive

from Practical AI Hosted by Daniel Whitenack and Chris Benson

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. Sponsors: Fly.io – The 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. Featuring: Till Döhmen – Website, GitHub, LinkedIn, X Adithya Krishnan – Website, GitHub, LinkedIn, X Chris Benson – Website, GitHub, LinkedIn, X Daniel Whitenack – Website, GitHub, X Show Notes: DuckDB MotherDuck Introducing FixIt: an unreasonably effective AI error fixer for SQL Upcoming Events: Register for upcoming webinars here!

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Big data is dead, analytics is alive

0:00 50:19

Chapters

  1. 0:00 Welcome to Practical AI
  2. 0:34 Sponsor: Fly.io
  3. 4:18 Struggling with big data
  4. 8:46 This is the way
  5. 12:02 Introducing DuckDB
  6. 14:11 What is in-process?
  7. 17:03 Sponsor: Timescale
  8. 19:35 Uses for DuckDB
  9. 22:40 Embedded environments & the edge
  10. 23:55 Standardizing fast interfaces
  11. 28:35 Vector search
  12. 30:55 Sponsor: Notion
  13. 33:04 Bringing MotherDuck to the cloud
  14. 36:01 Problems solved
  15. 38:59 Cloud & local compatibility
  16. 40:41 What makes it appealing?
  17. 43:43 New cool things
  18. 48:41 Thanks for joining us!
  19. 49:31 Outro

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This episode is 50 minutes long.

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This episode was published on October 24, 2024.

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