利用 Amazon SageMaker Catalog 中的端到端数据沿袭建立对 AI 的信任.pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.A N T 3 4 1Build trust in AI with end-to-end data lineage in Amazon SageMaker CatalogHarsha Tadiparthi(He/him)Principal Specialist Solutions Architect Data and AIAma

2、zon Web ServicesSandhya Edupuganti(She/her)Sr.Software Development ManagerSageMaker CatalogAmazon Web Services 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.TrustThemes we hear from customersBuild trust to ensure

3、 data assets are matched to correct use casesTrouble-shootingWhen a data issue is reported,the issue source should be easily identified by the user diving deepImpact analysisReduces the time required for change management and troubleshooting activitiesGovernanceFor audit purposes,provide scalable ap

4、proach to see how data assets are used and accessed 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Open Data LakehouseData&AI GovernanceSQL analyticsAmazon RedshiftData processingAmazon EMRAWS GlueAmazon AthenaModel developmentAmazon SageMaker AIGen AI App developmentAmazon Bedro

5、ckStreamingAmazon MSKAmazon KinesisBusiness intelligenceAmazon QuickSightSearch analyticsAmazon OpenSearch ServiceC O M I N G S O O NC O M I N G S O O NC O M I N G S O O NUnified Studio 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Unified StudioData&AI Governance 2025,Amazon We

6、b Services,Inc.or its affiliates.All rights reserved.SageMaker CatalogDataModelsGen AIBI DashboardsCentralized metadata repositoryData&ML LineageData discovery and sharingAI-generated business contextData Quality 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Data Lineage in Amaz