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# What Is Lineage in Data? Understanding Its Importance and Components

**[Decube](https://daily.dev/sources/decuberss)** · 11 min read · 0 upvotes · 0 comments

## Summary

Data lineage tracks the movement of data through an organization — from its origins, through transformations, to its final destinations. It is essential for regulatory compliance (GDPR, CCPA, BCBS 239), data quality management, and operational efficiency. Key components include sources, transformations, destinations, and metadata. Financial services and telecom sectors benefit most, with organizations like Grasshopper Bank and Austin Capital Bank using lineage to improve governance. Automated tools like Decube's column-level lineage feature help keep metadata current and provide audit trails, reportedly boosting engineering productivity by 40%.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.decube.io/post/what-is-lineage-in-data-understanding-its-importance-and-components>

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Tags: [#big-data](https://daily.dev/tags/big-data), [#data-engineering](https://daily.dev/tags/data-engineering), [#data-quality](https://daily.dev/tags/data-quality), [#regulatory-compliance](https://daily.dev/tags/regulatory-compliance), [#data-observability](https://daily.dev/tags/data-observability)

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