Session
Millisecond Pricing: High-Velocity Feature Serving on the Lakebase
Overview
| Experience | In Person |
|---|---|
| Track | Lakebase |
| Industry | Financial Services |
| Technologies | Unity Catalog, Databricks Apps, Agent Bricks |
| Skill Level | Intermediate |
Fragmented architectures kill pricing precision. Real-time systems require millisecond latency across millions of features without training-serving skew. We replace slow, siloed pipelines with a high-velocity pricing engine built on the Databricks Lakebase, Tecton and Fennel with Genie and Apps.
Technical Highlights:
- Millisecond serving: OnlineFS provides rapid online serving for millions of features to power complex pricing models.
- Rapid updates: Fennel enables instantaneous feature updates, allowing the online system to react to data shifts in real time.
- Unified foundation: Databricks Lakebase provides the high-performance backbone for governed, enterprise-scale feature retrieval at scale.
- Intelligent analytics: Databricks Genie and integrated dashboards deliver real-time visibility into pricing performance and financial risk.
See how to build a scalable, autonomous blueprint for real-time decisioning that bridges massive historical datasets with sub-millisecond execution.
Session Speakers
Laurence Ryszka
/Senior Solutions Architect
Databricks
Rahul Pathak
/Senior Specialist Solutions Engineer
Databricks