Governed, Fast, and Open: Better Customer-Facing With Unity Catalog

​Delivering fast, personalized, and governed insights to customers or partners is notoriously hard. Traditional data warehouses rely on rigid, proprietary pipelines that are difficult to update, costly to maintain, and prone to creating data silos that slow everything down. Join us to explore how to enable customer-facing analytics on open data—without sacrificing governance or flexibility. 🙌

​We’ll cover:

​✅ Why customer-facing workloads need more than just fast queries—they need governed, interoperable data access.

​✅ How Unity Catalog offers a unified governance layer across open formats and AI workloads.

​✅ Innovations on the query engine side to enable the performance that customer-facing analytics requires directly on open data.

​✅ Real-world stories from companies like Herdwatch and TRM Labs, who are building customer-facing analytics on open formats.

​Whether you’re building analytics for your customers or AI agents, this session will show you how to do it right—with a single source of truth, no ingestion delays, and no governance headaches.

​Speaker: Sida Shen, Product Manager, CelerData

​Bio: Sida Shen is a product manager at CelerData. An engineer with a background in building machine learning and big data infrastructures, he oversees the company’s market research and works closely with engineers and developers across the analytics industry to tackle challenges related to data and AI.