Amazon SageMaker Catalog, part of the next generation of Amazon SageMaker, now supports enhanced search capabilities with exact-match and partial-match functionality for technical identifiers such as column and table names. This feature allows users to perform precise searches by enclosing terms within a qualifier such as double quotes (” “), helping them quickly locate assets with exact or partial technical names. For example, analysts can find specific columns faster, stewards can validate assets using naming patterns like “audit_”, and engineers can identify temporary tables with prefixes like “temp_”.
Building on SageMaker Catalog’s existing keyword and semantic search, this enhancement is designed for organizations managing large-scale data catalogs with complex naming conventions. For example, searching for “customer_id” returns only those assets with an exact match, while a query like “sales_” returns assets such as sales_summary and sales_data_2024. These capabilities help users quickly locate technical assets, improve data governance by reducing errors, and enhance collaboration.
Check out the product documentation to learn more about how to set up metadata rules for subscription and publishing workflows.