Visualize data lineage using Amazon SageMaker Catalog for Amazon EMR, AWS Glue, and Amazon Redshift
Big Data Blog
The article discusses how to visualize data lineage using Amazon SageMaker Catalog across different AWS analytics services like AWS Glue, Amazon Redshift, and Amazon EMR Serverless. The key features and benefits of data lineage tracking include:
- Automatically capturing metadata and relationships between data artifacts
- Providing a complete audit trail of data movement and transformation
- Supporting compliance and regulatory requirements
- Enabling impact analysis and troubleshooting
- Tracking data quality and dependencies
The solution demonstrates lineage generation through:
- AWS Glue ETL jobs and notebooks
- Amazon Redshift table transformations
- Amazon EMR Serverless Spark applications
By using OpenLineage and SageMaker Catalog, organizations can gain deep insights into their data's journey, improve governance, and facilitate cross-team collaboration.
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