What Is LTAP? Lakebase + Genie Explained by Databricks CTO

Databricks CTO Matei Zaharia on the two launches he's most excited about: Genie for AI-driven analytics, and LTAP for one copy of transactional + analytic data. He also breaks down coding agents, agent trust, and how Unity AI Gateway governs enterprise AI. Chapters 00:00 The two biggest launches: Genie and LTAP 01:07 Genie with unstructured data: SharePoint, Google Drive & charts 02:10 LTAP: Lake Transactional/Analytical Processing (LTAP) 03:11 Why real-time data 03:42 Zerobus: It allows developers to push real-time event data (such as IoT telemetry, clickstreams, or logs) directly into Delta tables 04:12 What enterprises are doing with AI? 05:15 Connecting agents to enterprise data with the Genie ontology 06:46 Trust in AI agents 08:49 Unity AI Gateway 10:51 Wrap-up Resources & Documentation: 📝 Documentation: https://omnigent.ai/ 📝Install Omnigent: https://omnigent.ai/quickstart/install 📝Coding Agents: https://omnigent.ai/docs/use/coding-agents Connect with the community: 🚀 Subscribe to the NextGenLakehouse Newsletter: https://www.nextgenlakehouse.com/ 👥 Join our Reddit Community: https://www.reddit.com/r/databricks/ 🐦 Follow us on X: https://x.com/YoussefMrini 📸 Follow us on Instagram: https://www.instagram.com/nextgenlakehouse 🎥 Follow us on TikTok: https://www.tiktok.com/@nextgenlakehouse