Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt
Big Data Blog
This article discusses building end-to-end data lineage for one-time and complex queries using AWS services like Amazon Athena, Amazon Redshift, Amazon Neptune, and dbt. The solution addresses challenges in tracking data lineage across different query types and data sources.
- Key challenges include diverse data sources, varying query complexity, and inconsistent lineage tracking
- Uses dbt for unified data modeling across Amazon Athena and Amazon Redshift
- Leverages Amazon Neptune graph database to store and analyze complex lineage relationships
- Employs AWS Step Functions and Lambda for automated lineage generation
- Provides a comprehensive solution for end-to-end data lineage analysis
The solution offers a flexible, scalable architecture that simplifies data modeling, enhances data governance, and provides deeper insights for decision-making across different data platforms.
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