
Amazon SageMaker Data Agent now integrates with SageMaker Catalog business context, enabling data practitioners to discover datasets and generate accurate SQL and Python code using business terminology instead of technical table names.


<div><p>This article announces that Amazon SageMaker Data Agent now integrates with SageMaker Catalog business context and metadata, enabling data practitioners to discover datasets and generate code using business terminology.</p><ul><li>Data Agent leverages business context from SageMaker Catalog for accurate data discovery</li><li>Supports catalogs synced from Collibra, Atlan, and Alation</li><li>Enables natural language queries like "Calculate customer retention rate"</li><li>Searches glossary terms, metadata forms, asset summaries, and README content</li><li>Generates accurate SQL and Python code on first attempt</li><li>Plans multi-step workflows with correct table sequences</li><li>Respects data governance by checking subscription status</li><li>Available in SageMaker Unified Studio notebooks and Query Editor</li></ul><p>This integration allows organizations to maximize catalog investments while reducing time-to-insight and enabling data teams to work in business language rather than technical table names.</p></div>


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