How Databricks Builds E-commerce Real-time Recommendation System with Lakebase and AI Search
Databricks Releases E-commerce Real-time Recommendation Reference Architecture Based on Lakebase and AI Search, Derived from a Real Implementation Serving an Asian Fashion E-commerce Platform with Over 1 Million Monthly Active Users and Over 100,000 SKUs. The system ingests about 1000 events per second, writes to Unity Catalog Delta tables via Zerobus Ingest, and adopts two serving paths of precomputed batch recommendation and real-time session awareness.
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