Patrick Yang

Databricks CustomerLake is how data and business teams can use agents to build a clean Customer360 on Databricks. This session will deep dive on new capabilities that help teams convert raw data into golden c360 profiles that are ready for business use, resolve customer identities, and continously quality-check data for accuracy – all while maintaining the security and governence of Unity Catalog your enterprise depends on. In this session, you’ll learn: - How to use agents convert raw data into golden C360 records, ready for business use - How to use agents to resolve customer identities and generate unified IDs using 3rd party data enrichment - How to train agents to run regular quality checks and improvements on data - How to use a marketplace of 3rd party data for enrichment

This session is repeated. Get the most out of your AI/BI Dashboards by scaling them across your entire organization. This session covers best practices for automating report distribution, embedding dashboards in external applications, and ensuring secure access across all surfaces. You'll walk away with practical strategies for delivering insights to the right people at the right time—empowering decision-makers at every level with the data they need to drive impactful outcomes.

This session shows you how to gain visibility into your Databricks SQL spend and ensure cost efficiency. Learn about the latest features to gain detailed insights into Databricks SQL expenses so you can easily monitor and control your costs. Find out how you can enable attribution to internal projects, understand the Total Cost of Ownership, set up proactive controls and find ways to continually optimize your spend.