Introduction to SageMaker Lakehouse
Amazon SageMaker Lakehouse delivers a unified, open, and secure platform that integrates seamlessly with existing data infrastructure. It combines the cost-effectiveness of S3 storage with robust data lake capabilities, while maintaining warehouse-grade performance and reliability.
Key Features and Capabilities
- Open source Apache Iceberg REST APIs for universal data access
- Compatibility with multiple AWS services including Redshift, EMR, and Athena
- Fine-grained access controls through AWS Lake Formation
- Unified policy administration for data lakes in Amazon S3
Technical Implementation Steps
- Configure Lake Formation prerequisites and IAM roles
- Register S3 locations as data lake locations
- Set up appropriate database and table permissions
- Create and configure Databricks workspace with specific runtime settings
- Implement Spark configurations for Iceberg integration
Security and Access Control
The solution leverages AWS Lake Formation’s robust security framework to:
- Enable fine-grained access controls on data
- Manage credential vending for secure data access
- Implement role-based permissions at database and table levels
Integration Benefits
This architecture enables organizations to:
- Maintain a single source of truth for data
- Streamline policy administration
- Enable secure cross-platform data access
- Optimize cost with efficient storage utilization
Click here to learn more about accessing Amazon S3 Iceberg tables from Databricks using AWS Glue