Explore advanced governance and authentication patterns for building secure, enterprise-grade apps with Databricks Apps. Learn how to configure complex permissions and manage access control using Unity Catalog. We’ll dive into “on-behalf-of-user” authentication — allowing agents to enforce user-specific access controls — and cover API-based authentication, including PATs and OAuth flows for external integrations. We’ll also highlight how Addepar uses these capabilities to securely build and scale applications that handle sensitive financial data. Whether you're building internal tools or customer-facing apps, this session will equip you with the patterns and tools to ensure robust, secure access in your Databricks apps.

Discover how to build and deploy AI-powered applications natively on the Databricks Data Intelligence Platform. This session introduces best practices and a standard reference architecture for developing production-ready apps using popular frameworks like Dash, Shiny, Gradio, Streamlit and Flask. Learn how to leverage agents for orchestration and explore primary use cases supported by Databricks Apps, including data visualization, AI applications, self-service analytics and data quality monitoring. With serverless deployment and built-in governance through Unity Catalog, Databricks Apps enables seamless integration with your data and AI models, allowing you to focus on delivering impactful solutions without the complexities of infrastructure management. Whether you're a data engineer or an app developer, this session will equip you with the knowledge to create secure, scalable and efficient applications within a Databricks environment.