Organizations often use databases to store information. In an effort to streamline and increase the speed of information discovery, organizations have developed a catalog of available data. This catalog serves as an information portal for users, who can search and browse through the available data assets. Some organizations also maintain a data catalog that includes business terminology. Data catalogs serve as the central repository of information assets and allow users to access and create new data in any format. The catalog can be integrated into various applications, such as web browsers and spreadsheets.
The data catalog is an essential component of any database, allowing data consumers to discover related data from different databases. For example, an analyst might want to gather customer data from several databases and create a data catalog. By combining data from different databases, an analyst can identify patterns and achieve business goals. The data catalog also aids in joining and cleaning data. Data consumers can search across databases to discover related data, and can even find information across different companies using the same database.
Metadata is critical for data governance. In addition to providing information about the content of a database, metadata also enables data curators to observe how data is being used and to understand what types of users are accessing the data. Data engineers, on the other hand, work on creating metadata. They help companies manage data through the use of technical and business metadata. Despite the importance of data governance in data management, there are some fundamental principles that should be considered while creating a metadata management system.
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