​About the Session

​Join us for the next Lakehouse, Lagers & Legends [Virtual] session as we explore one of the most anticipated announcements from Databricks Summit 2026: Lakebase.

​In this session, we'll break down what Lakebase is, why Databricks introduced it, and how it extends the Lakehouse Platform with a cloud-native operational database built for AI applications. We'll cover the key capabilities announced at Summit, discuss common use cases, and explain how Lakebase enables transactional workloads alongside analytics and AI in a unified architecture.

​Through practical examples, you'll learn how Lakebase supports modern AI applications by providing low-latency operational data, seamless integration with the Databricks Data Intelligence Platform, and a simpler approach to building intelligent, data-driven solutions.

​Whether you attended Databricks Summit or are catching up on the latest innovations, this session will give you a clear understanding of Lakebase, its role in the modern data stack, and what it means for data engineering, analytics, and AI teams.

​Why Join Lakehouse, Lagers & Legends [Virtual]?

​Each month, we'll spotlight the most important announcements from Databricks through live and in-person technical sessions, practical demos, and open discussions with the community.

​Expect engineering-focused content, real architectures, and hands-on insights.

​What You'll Learn

​During this session, we'll cover:

​Lakebase Overview
Explore the key announcements from Databricks Summit 2026 and understand what Lakebase is, why it was introduced, and how it expands the Databricks Data Intelligence Platform.

​Operational Databases for AI Applications
Learn how Lakebase enables transactional workloads alongside analytics and AI, providing low-latency data access for modern, intelligent applications.

​Architecture & Real-World Use Cases
See how Lakebase fits into a modern lakehouse architecture and explore practical scenarios such as AI-powered applications, operational systems, and real-time data experiences.

​Implementation Best Practices
Discover design considerations, integration patterns, and recommendations for adopting Lakebase within your Databricks environment.

​Live Q&A
Bring your questions and discuss Lakebase capabilities, use cases, and implementation strategies with the community.

​Featured Speaker

​Kushagra Verma is a Data Engineer at v4c.ai, specializing in building saleable data platforms, governance, and modern data architectures. In addition, he enjoys going into data complexities and understanding the why behind the what and how

​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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