Hear from Databricks MVPs (Most Valuable Partners) sharing their insights and experiences at Data+AI Summit 2025. MVPs discuss their work with Lakebase, AI agents, and innovations reshaping the data and AI landscape.
Source: official Databricks documentation · Databricks announcement
Chapters
- 0:00 — Introduction & MVP Welcome
- 0:07 — Lakebase Innovations & Use Cases
- 0:38 — AI Agents & Automation Focus
- 1:30 — Databricks Apps & Community Projects
- 1:56 — Closing Remarks & MVP Recognition
Full transcript
Auto-generated from the video and lightly edited for readability. Timestamps link to the moment in the video.
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0:07super excited about everything that has been going on with LakeFlow. You know, I've been a critic before Delta Life Tables and I love uh what the team has has done now with Lake. You can already now see that as revolution what is happening. You already have data in Databricks and soon you have your agent army as well in Databricks. So lakebased you know it's really hard to bridge that gap between
0:29the operational experience and the analytic experience being able to do it in the same platform seems really cool capabilities with OLTPS in building out like AI agents definitely lakebase I've been uh working on building apps on Databricks and that's going to make it so much easier now Databricks is now free available for free going to build a lot of amazing uh
0:52application agents on Databricks oh I I have two clear favorites. The first one is of course the free edition of uh Dinner Bricks. I've tested it out myself. The second one is Lake Face. I'm a data warehousing nerd. Uh thing is very fantastic. I saw a lot of product maturity in what was being announced. So I really appreciated that.
1:15I was like finally so cool things are coming. Honestly short story. I thought they were pretty great. I want to try the signer. I think I think there's uh I think there's a lot of good that came out of today and I think it's going to make a lot of people's lives easier. Engineer in me is extremely excited about what the convergence of like an OOLTP and OLAP could mean wonderful time. Got to meet a lot of
1:37people in person. It's been uh buzzing. It's it's fire. The most exciting part about the lake phase is the fact that you're so it's possible to branch out a database. It spins up and the only thing you actually pay for in the branch style database is the data difference between them.
Official Databricks resources
- Lakebase (OLTP) documentation — docs
- Databricks Apps documentation — docs
- Agent Bricks — product
- Databricks Free Edition — product
- Databricks blog — blog
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- All Databricks video guides
- All tutorials & videos
Databricks Answers
Looking for a quick, source-backed answer? Browse Databricks Answers on the Databricks Data and AI Platform — direct, documentation-validated answers to common Databricks questions, curated by Youssef Mrini, Senior Developer Advocate at Databricks.