Data catalogs play an integral role in managing and governing data. They're crucial to the success of data-driven organizations, keeping massive datasets well-organized and accessible. But old-school catalogs have many limitations.
They require manual cataloging, eating up valuable time and resources. Plus, they can struggle to keep up with changes in data sources, resulting in inaccuracies and poor data reliability. Pair that with a lack of support for unstructured data and effective lineage tracking; traditional catalogs can be more frustrating than anything else.
