Category: Analytics
Service: AWS Glue
Answer:
AWS Glue provides features for data lineage and auditing to track the flow of data through ETL jobs and ensure data accuracy and compliance.
AWS Glue automatically generates a data catalog that stores metadata about data sources, transforms, and targets used in ETL jobs. This metadata includes schema information, data types, and relationships between data sources and targets. The data catalog allows users to search for and discover data assets and view their lineage.
AWS Glue also integrates with AWS CloudTrail, a service that records all API calls made in your account, including Glue ETL job executions. This integration provides a complete audit trail of data processing activities, allowing users to monitor and analyze job executions and identify potential issues.
Additionally, AWS Glue provides a feature called job bookmarks, which tracks the progress of ETL jobs and allows them to resume from where they left off if they are interrupted. This feature helps maintain data lineage and accuracy by ensuring that data is not duplicated or overwritten during processing.
Overall, these features help ensure data accuracy, compliance, and auditability in AWS Glue ETL workflows.
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