Hey Databricks Community!
Join us for a free, community-sponsored BrickTalk on Thursday, October 29! BrickTalks is a community event series where Databricks experts share real-world use cases, demos, and practical insights for building with data and AI, giving you a direct line to the people behind the products.
While vector search originally developed as a millisecond serving problem for chatbots, many enterprise workloads, like daily payment transactions or overnight historical record enrichment, are batch-oriented and require similarity searches across millions of records. Join us to explore how Lakehouse vector search brings these batch workloads directly into Delta and Iceberg tables using NEAREST BY joins in SQL, eliminating the need for separate serving endpoints or dedicated vector databases.
What You'll Learn:
- Batch-Oriented Workloads: How vector search applies to enterprise tasks like matching millions of daily transactions or historical data enrichment.
- SQL Integration: How to use NEAREST BY joins to find closest matches across tables directly in Databricks SQL and Runtime.
- Efficiency & Cost Optimization: How optimized execution engines and vector indexes narrow search candidates to boost throughput and lower costs.
Date & Time: Thursday, October 29
- PT: 8:00 AM
- ET: 11:00 AM
- London (GMT): 3:00 PM
- IST: 8:30 PM
๐ Register today to save your spot!
