To keep a database current and comprehensive, you should periodically update its data catalog. A database can contain dozens of tables with dozens of fields. It is important to update the data catalog whenever there are changes in the database. Ideally, the data catalog should update itself automatically based on changes in the data. However, sometimes it is necessary for a team to take action to make sure the data catalog is always up to date.

Data catalog tools can make it easy to find specific data assets in a database. These tools can also provide a way to browse and search data by their names. Using data catalog tools will help you discover the relationships between various data assets. This will make your database easy to navigate. A data catalog also allows you to build wiki articles, searchable conversations, and subscribe to automatic notifications when a data set changes.

Metadata describes the history of an asset, including access, use, and permissions. This information helps the analyst determine the suitability of the asset for a given use. It is also helpful for troubleshooting queries and identifying users. The metadata stored in a database also allows you to analyze and search data based on a particular purpose.

Data catalogs can be searchable using keywords or filters. Many also automatically sort the information based on relevance and frequency of use. They also integrate with analytics platforms and BI tools, eliminating the need for data engineers.