​About This Session

​Join us for a Lakehouse, Lagers, & Legends session in Bangalore exploring how Databricks is bringing operational data and AI governance together to build more connected, reliable, and secure AI applications.

​AI agents need two essential things: access to fresh business data and the ability to operate within clear governance and security boundaries. Traditionally, transactional databases, analytical systems, and AI governance have operated separately, requiring complex pipelines and point-to-point integrations to connect them.

​In this session, Mohit Raut (VP of Technology) and Mohammad Afzal (Associate Data Engineer) will explore how Lakebase and Lake Transactional/Analytical Processing (LTAP) help bridge the gap between operational and analytical workloads, while Unity AI Gateway provides centralized governance for models, usage, and AI execution.

​Through practical architecture examples and a live demo, you'll see how these capabilities work together to connect operational data with governed AI applications, from a database record to an AI-generated answer.

​Whether you're a data engineer, platform engineer, architect, AI practitioner, or technology leader, you'll gain practical insights into building more integrated data and AI architectures.

​Why Join

• ​Bridge Operational and Analytical Data: Understand how Lakebase and LTAP bring transactional and analytical workloads closer together.

• ​Access Fresh Business Context: Explore how operational data can support analytics and AI without relying on traditional change data capture (CDC) pipelines.

• ​Strengthen AI Governance: Learn how Unity AI Gateway helps manage model access, usage limits, budgets, and security controls.

• ​Improve Visibility and Control: Discover approaches to usage tracking, sensitive-data guardrails, and end-to-end AI tracing.

• ​See It in Action: Follow a live demonstration connecting operational data with governed AI responses.

• ​Connect with the Community: Meet local data engineers, architects, platform leaders, and AI practitioners in Bangalore over food and refreshments.

​What We'll Cover

• ​Introduction to the Modern Data & AI Platform: An overview of the evolving data architecture and why AI applications need both fresh context and governed access.

• ​Lakebase & LTAP: Explore the traditional divide between transactional and analytical systems, and how Lakebase and LTAP aim to bring these workloads together.

• ​From Operational Data to AI: Understand how access to fresh operational data can support analytics and AI without traditional CDC pipelines.

• ​Unity AI Gateway: Discover how centralized governance extends to AI models, usage policies, rate limits, and budgets through Unity Catalog.

• ​AI Guardrails & Observability: Learn about usage tracking, sensitive-data controls, and end-to-end tracing for AI applications.

• ​Live Demo, Q&A & Open Discussion: See how operational data and AI governance come together, and bring your questions about implementing these capabilities in production.

​Seats are limited to keep the session interactive and the discussion technical.

​Food & beverages provided — RSVP today!

​Featured Speakers

​About Lakehouse, Lagers & Legends

​What started as a few meetups for data engineers has turned into a worldwide community of people who live and breathe data. Each event blends two things our crowd cares about most: sharp, practical sessions on the latest in data engineering and a relaxed setting to trade ideas over a cold drink.

​Every stop is a little different- new city, new voices, fresh conversations but the core stays the same: bring smart people together, share real-world lessons, and spark collaborations that carry on long after the night ends.

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