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.
The data management process is critical to the success of any organization. However, it can become a complicated task if not handled properly. Most of the tools available today are vendor-based, rather than user-based data management. To manage data properly, you must spend time to review data and discover patterns. If you are not comfortable managing databases, you should consider using software that automates the process of data management.
The process of managing metadata should be systematic and standardized. It is crucial that you choose a metadata management framework that meets your primary business goals. This way, you can minimize the number of review cycles that need to be performed. Most major changes require review at the business level, but minor changes can be processed through custom-built approval processes. This will help reduce the number of cooks in the data kitchen and speed up the implementation process.
Another important aspect of data management is the data catalog. A data catalog will help users search for data in a database. A robust data cataloging solution will also provide metadata enrichment and profiling tools. It should connect to all data assets and support natural language queries. In addition, data catalogs should be able to provide recommendations and build metadata knowledge graphs.
Profiling Tools 