Metadata is important for describing the data that is stored in a database. It describes its structure, business logic, and fitness for various purposes. It helps data professionals speak the same language. Metadata should be easy to find and include tools that allow data analysts to enrich it. In addition to the content of the data itself, metadata should be able to inform users about how to use the data.

It is important to keep data catalogs current and up-to-date. It is important to ensure that the data catalog is constantly refreshed with new information from various teams and departments. This requires a process that identifies changes to the data catalog and automatically updates itself when possible. However, if this is not feasible, the data catalog must have some user interaction. Governance actions, such as creating new dashboards, can also help keep data catalogs updated.

An active data catalog is an ideal solution for unlocking the full potential of data assets. It can improve the value of data and reduce manual workloads for the team. A good data catalog will also offer features that facilitate the evaluation of data, such as providing previews, certifications, and ownership information. It also should include a mechanism for users to provide ratings and reviews of data.

Data catalogs enable users to access data from all sources through an organized service. This allows them to explore the data they need and understand the information they are exploring. The result is an organization that can get the most from its information assets.

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