Data cataloging is a process to create a comprehensive inventory of digital assets. It is an essential part of data stewardship and data curation.
Modern data catalogs are built to meet the needs of a variety of users. These include business users, engineers, product specialists, and scientists. The data catalog provides a way to find and link data, as well as identify related data across multiple databases.
Most modern catalogs are built on top of a knowledge graph. This allows for a user-friendly directory of data assets.
While the first generation of catalogs viewed data as isolated, static entities, new-generation catalogs take a more innovative approach. They can scan a database in a systematic manner to provide the information required to help you make sense of your data.
These platforms also feature AI/ML capabilities for active metadata management. In addition, they offer predictive analytics. These features can help you monitor the movement of your data throughout systems.
These platforms can also be used for data profiling. They analyze content, structure, and quality to help you understand your data quickly and easily. Often, they will alert you if there are any issues with the data.
Data catalogs can be stored on-premises or in the cloud. Metadata can be stored internally or in a separate file. Usually, it is stored in a human-readable format, making it easier to read by humans.
Modern data catalogs are the foundation for data stewardship and data curation. They provide a unified view of your data assets and are designed to enable democratic access.
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