Discover how Amazon SageMaker Unified Studio enables data teams to easily find and access datasets across their organization using semantic search and business metadata. In this demo, follow along as a risk analyst searches for fraud-related data assets, reviews business metadata including summaries and README documentation, and examines column definitions and technical details. Learn how to evaluate data trustworthiness by checking data quality scores, reviewing data lineage to understand transformations, and filtering search results by data type to narrow down your findings. See how to subscribe to datasets once you've confirmed they contain the information you need for your analysis. SageMaker Unified Studio makes it simple to discover, evaluate, and access the right data assets for your work, all with full governance and transparency.
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