Sponsored by: Ziggiz | The Security Lakehouse You've Already Decided to Build — Here's How to Actually Do It

You don't need to be sold on the security data lakehouse. You already know it's the answer to the cost, scale, and performance problems that have plagued SIEMs for years. The hard part is getting there. Data collection at scale, lake management, and semantic modeling are each difficult problems on their own. Solving all three in production is where most security lakehouse projects stall. In this session we'll show exactly how ziggiz accelerates the journey — live on Databricks. See how ziggiz handles high-volume security data collection, manages the Delta Lake layer without manual schema wrangling, and delivers a detection-ready semantic model out of the box. No months-long data engineering project required. If your team has committed to the lakehouse path and wants to see what production-ready looks like on Databricks, this 15 minutes is for you.