Zero to Hero: Customer-Facing Analytics on Lakehouse in Under an Hour
On Thursday, May 8, join Sida Shen and Huanming Wang from CelerData alongside Victoria Bukta from Databricks for a hands-on session where they’ll co-build a customer-facing analytics stack from the ground up! 🙌
See how the Lakehouse architecture enables sub-second latency and high concurrency at scale—all on open table formats like Apache Iceberg, Delta Lake, and Apache Hudi. 🌊
🔍 What you’ll learn:
✅ Why customer-facing analytics is shifting to the Lakehouse
✅ How querying open data directly streamlines pipelines and boosts governance—without sacrificing performance
✅ What a scalable architecture looks like for supporting thousands of QPS and strict latency SLAs
🎯 By the end of the session, you’ll walk away with:
✅ A working prototype
✅ A clear blueprint for deploying customer-facing analytics at scale