The subject of metadata management in data governance encompasses a wide range of important elements. Metadata - Wikipedia. According to Ralph Kimball, metadata can be divided into three categories: technical metadata (or internal metadata), business metadata (or external metadata), and process metadata. Metadata is information—such as author, creation date or file size—that describes a data point or data set. Metadata can improve a data system’s functions and make it easier to search for, organize and use data. The simple definition of metadata is "data about data."
Metadata refers to data that provides information about other data. Furthermore, it describes the structure, content and characteristics of a file, document, image or dataset, helping users and systems understand and manage data more effectively. Metadata | Definition, Examples, & Standards | Britannica. Metadata allows for the easy retrieval, management, and use of data. It can be collected for any type of data, from the content of ancient scrolls to that of modern websites, and it can relate to any informational aspect of data, such as its origin, location, format, or quality.
Furthermore, a Guide to Understanding Data About Data. Metadata is often described as “data about data,” providing information about a data item, file, or collection that helps us understand, find, and use it effectively. From another angle, what is metadata and how does it work? Metadata is data that describes other data, providing a structured reference that helps to sort and identify attributes of the information it describes.
What is Metadata (with examples) - Data terminology. Building on this, relational databases (most common type of database) store and provide access not only data but also metadata in a structure called data dictionary or system catalog.
📝 Summary
Through our discussion, we've examined the various facets of metadata management in data governance. This knowledge not only enlighten, and they assist people to make better decisions.