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This episode of Techsplainers examines data lineage - the critical process of tracking data's complete journey from origin to destination throughout an organization. We explore how data lineage functions as a "family tree" for data, documenting every transformation and touchpoint along its path. The discussion clarifies the relationships between data lineage, data provenance (focused on origins), and data governance (the broader management framework), showing how these concepts work together to maintain data quality and security. We dive into the four key use cases - data modeling, data migration, compliance with regulations like GDPR, and impact analysis - demonstrating why data lineage has become essential for organizations implementing sophisticated analytics and AI initiatives.
Find more information at https://www.ibm.com/think/topics/data-lineage
Find more episodes https://www.ibm.biz/techsplainers-podcast
Narrated by Dan Segal
By IBMThis episode of Techsplainers examines data lineage - the critical process of tracking data's complete journey from origin to destination throughout an organization. We explore how data lineage functions as a "family tree" for data, documenting every transformation and touchpoint along its path. The discussion clarifies the relationships between data lineage, data provenance (focused on origins), and data governance (the broader management framework), showing how these concepts work together to maintain data quality and security. We dive into the four key use cases - data modeling, data migration, compliance with regulations like GDPR, and impact analysis - demonstrating why data lineage has become essential for organizations implementing sophisticated analytics and AI initiatives.
Find more information at https://www.ibm.com/think/topics/data-lineage
Find more episodes https://www.ibm.biz/techsplainers-podcast
Narrated by Dan Segal