Blog of the Week: Stitching - The key to end-to-end lineage
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In the world of data governance and intelligence, understanding data lineage is essential for making informed decisions. This is where stitching comes in as an incredibly important concept in Collibra. Stitching entails matching different segments of lineage to obtain end-to-end lineage, allowing for a comprehensive view of the data’s journey throughout the organization. In this blog post, we explore why stitching is required for creating end-to-end lineage.
In addition to matching segments of lineage, stitching also entails matching objects in a technical lineage to assets in Data Catalog. This provides an even deeper understanding of the data and its lineage. This is particularly useful when tracing the origin of a specific data object. By linking these pieces of information together, you gain the insight you need to make more informed decisions about your data.
Why you need end-to-end lineage
End-to-end lineage is the process of tracing data from its source to its target, allowing for a complete understanding of where the data came from and how it was transformed along the way. This is essential for regulatory compliance, data governance, and risk management. Without end-to-end lineage, it’s impossible to know if the data has been altered, if it’s trustworthy, or if it’s being used in a way that is compliant with regulations.
Stitching as a bridge between Catalog and lineage
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