Tag: Amazon Sagemaker
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Unify Data Analytics: Integrating Amazon S3 Tables with SageMaker Lakehouse
Amazon SageMaker Lakehouse now integrates with Amazon S3 Tables, offering unified access to data across S3, Redshift warehouses, and other sources. This integration enables seamless analytics using preferred tools while maintaining security through fine-grained permissions, helping organizations derive insights from distributed data without duplication or complex connectors.
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Accelerate Data to AI Innovation with Amazon SageMaker Unified Studio
AWS announces the general availability of Amazon SageMaker Unified Studio, bringing together analytics and AI capabilities in a single development environment. This integrated platform enables teams to discover data, collaborate on projects, and build advanced applications with built-in governance, dramatically reducing time-to-value for data-driven initiatives.
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Access Amazon S3 Iceberg Tables in Databricks Using AWS Glue and SageMaker Lakehouse
Discover how to seamlessly integrate Databricks with AWS Glue Iceberg REST Catalog and SageMaker Lakehouse. Learn about unified data architecture, security controls, and efficient data access across platforms while maintaining a single source of truth.
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Unify Data Access with Amazon SageMaker Lakehouse
Discover how Amazon SageMaker Lakehouse revolutionizes enterprise data management by unifying data warehouse and lake access. Learn about implementation steps, security controls, and analysis capabilities in this comprehensive guide.