
    Amazon SageMaker Lakehouse enables organizations to simplify data access across data warehouses and lakes by providing unified, secure data management through an open Apache Iceberg REST API with consistent access controls.


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The article discusses how Amazon SageMaker Lakehouse helps organizations simplify data access and unify data management across different systems and tools. Using a retail company example, the solution demonstrates how to:
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<li>Integrate customer data from multiple sources (S3, Redshift, Glue Data Catalog)</li>
<li>Create a unified data management system using AWS services like Lake Formation and EMR</li>
<li>Enable secure, fine-grained data access across different teams and tools</li>
<li>Perform cross-system analytics using Athena and Redshift</li>
<li>Use Apache Iceberg for flexible data storage and access</li>
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The walkthrough covers setting up databases, registering data locations, managing permissions, and performing customer churn analysis using multiple analytics engines, demonstrating how SageMaker Lakehouse can simplify enterprise data access and management.
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