We explain the role of two different types of data catalogs and how they can work together in your enterprise.
An organization's data is often fragmented across numerous sources: legacy on-premises systems and data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories. Because of this all-too-familiar data environment, data governance becomes a challenge. Business stakeholders, data analysts, and other users are unable to discover data or run queries across an entire data set, which diminishes the value of data as an asset. In such an environment, it's challenging for users to generate accurate compliance reports or forecast sales with any reliable degree of accuracy.
Like the legendary Wild West, fragmented data environments cannot be effectively governed, if at all. In such environments, business users are often unable to know what data is stored in which system. Even if they do, they might not know who owns the data or how they are allowed to use it.
Data catalogs solve these problems by bringing an organization's diverse data holdings together in one list. However, not all data catalogs are alike, and it is important for data stewards and data consumers to understand all the options these critical tools offer.
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