Remove Automation Remove Data Quality Remove IDP
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Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

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Data Wrangler simplifies the data preparation and feature engineering process, reducing the time it takes from weeks to minutes by providing a single visual interface for data scientists to select and clean data, create features, and automate data preparation in ML workflows without writing any code.

IDP 123
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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

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Amazon SageMaker Catalog serves as a central repository hub to store both technical and business catalog information of the data product. To establish trust between the data producers and data consumers, SageMaker Catalog also integrates the data quality metrics and data lineage events to track and drive transparency in data pipelines.

Metadata 135