Summary

This article discusses the challenges and solutions for building end-to-end data lineage in enterprise data analytics, particularly for one-time and complex queries. It highlights the use of Amazon Athena, Amazon Redshift, Amazon Neptune, and dbt to create a unified data modeling language across different platforms. The authors explain how to automate the data lineage generation process using AWS services like Lambda and Step Functions, ensuring accuracy and scalability. The article provides insights into the architecture and implementation details necessary for effective data lineage tracking.

Data Problems Addressed

Technologies Referenced