Automate data lineage in Amazon SageMaker using AWS Glue Crawlers supported data sources

This article explains how to automate data lineage in Amazon SageMaker using AWS Glue Crawlers, demonstrating the process for tracking data flow across different sources like Amazon S3 and Amazon DynamoDB.

• Data lineage helps organizations understand data origin, transformations, and usage
• SageMaker Unified Studio provides a visual lineage graph to trace data flow
• Key steps include: - Creating a SageMaker project - Enabling data lineage capture - Deploying resources - Running AWS Glue crawlers - Sourcing metadata into SageMaker - Visualizing the lineage graph
• Benefits include improved data trust, impact analysis, and schema evolution tracking

The solution demonstrates how organizations can centralize metadata, track data transformations, and gain insights into their data pipelines using AWS services.