Metadata is the information that describes the data stored in databases. Metadata helps people search through information stored in a database. It describes the properties of data elements and identifies the applications that use them. Data management software maintains this metadata and makes sure that it is always in line with the current database structure. This information is mainly used for documentation purposes.

One of the major challenges that organizations face is the need for data catalog refresh. As developers create new pipelines, data scientists update existing tables, and business analysts create new dashboards, data assets change often. A database catalog should identify these changes and update itself when possible. It should also be updated through user interaction and governance actions. For example, a data catalog should allow users to set filters that allow it to retrieve data assets that match certain criteria. For this reason, it is vital that database catalogs include user interaction in their architecture.

With the explosion of data, organizations need a database that can keep pace. Data catalogs enable the streamlined management of a wide range of business data. Self-driving databases are cloud-based and use machine learning to make data entry, editing, and reporting easier. They also handle data storage, backup, and multi-access control. Security is an important consideration when running an enterprise database, and the right data management system can help ensure your data is safe and secure.