This ebook provides a comprehensive introduction to data lineage and its role in building trust in data. It explains how data lineage visually tracks data as it moves and transforms across systems, answering the “who, what, when, where, and why” of data. The ebook highlights how complex transformations, ETL processes, and ad hoc scripts can introduce errors and erode trust. It positions automated data lineage as essential for scaling in modern data environments, enabling faster insights, regulatory compliance, and impact analysis. The document shows how lineage supports cloud migrations, self-service analytics, and governance initiatives by providing transparency, consistency, and contextual understanding for both technical and business users.

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