Data catalogs are a way to organize data assets. They allow you to discover and use related data across multiple databases. It also helps improve the quality and speed of your data analysis.

Data catalogs offer a holistic view of data assets across the organization. This allows you to easily find and join the information you need to get results. The data may be from various sources, such as SQL queries, tables, notebooks, or BI dashboards. You can also use a data catalog to evaluate the health of data for intended uses.

Often, an organization’s data assets are scattered among silos. These can be inaccessible. Without a data catalog, analysts have to sift through documentation and talk to colleagues to discover the data they need.

A data catalog can centrally enforce rules on access and security. In addition, it can allow for collaborative data management. Organizations often want to make data easier to find and use.

A data catalog provides a centralized repository of metadata that can be accessed by users of all types. This can include analysts, engineers, and business users.

Today’s data catalogs can support a variety of features, including custom AI/ML algorithms. These can help you map sensitive data, augment recommendations, and surface insights on data usage. Moreover, modern data catalogs are open by default, making it easy for you to use and extend them.

Data catalogs can also help your team collaborate more efficiently. Many organizations have adopted data catalogs to support their collaborative analytics.

Check: https://techniciansnow.com/how-to-pick-the-right-data-catalog-tool/