Reduce time to access your transactional data for analytical processing using the power of Amazon SageMaker Lakehouse and zero-ETL
Big Data Blog
This AWS Big Data Blog article discusses how to reduce time to access transactional data for analytical processing using Amazon SageMaker Lakehouse and zero-ETL integration. The key points are:
- Traditional ETL processes are complex and time-consuming
- AWS introduces a two-pronged approach for unified data management:
- Unified data management with SageMaker Lakehouse
- Unified development experience with SageMaker Unified Studio
- The solution demonstrates zero-ETL integration between:
- Amazon Aurora MySQL
- Amazon Redshift
- SageMaker Lakehouse Catalog
- Enables near real-time access to operational data for analytics
- Provides fine-grained access control and governance
The article provides a detailed walkthrough of setting up the integration, including CloudFormation deployment, configuring zero-ETL, and accessing data through SageMaker Unified Studio.
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