Data Discovery Services enable searching, identifying and registering datasets or data assets together with their metadata to allow data consumers - such as data scientists, analysts, and data engineers - to find datasets of their interest and to gain real-time visibility into the datasets’ current state, in addition to their “catalogued” or ideal state. Data discovery enables security teams to identify sensitive or regulated information, including confidential or proprietary data as well as protected data to protect it and ensure its confidentiality, integrity, and availability. Data catalogues, data dictionaries and business glossaries are commonly used for data management. * Data catalogues (curated metadata) are collections of metadata to create, curate and maintain an inventory of data assets through the discovery, description and analysis of datasets. It enables data consumers to find and understand relevant datasets to extract business value from data. Data in a data catalog can contain any type of data in all conditions, either trusted/untrusted or governed/ungoverned. The business glossary and data dictionary are considered part of the data catalog. * Data dictionaries (technical metadata) are collections of names, definitions and attributes of data elements that are being used or captured in a database or information system. They describes the meanings and attributes of data elements within a specific context and provide guidance on interpretation, accepted meanings and representation. It also provides metadata about data elements. * Business glossaries (business metadata) are a collection of business terms and definitions across business domains, providing common understanding over data elements for all business operations. It facilitates governance policy analysis and development and supports taxonomies and ontologies to address semantic variations. This expands from business glossaries into identifying relationships between data elements, synonyms and (preferably) support ontologies and semantic relationships. A business glossary is primarily used, maintained and governed by business users, since these are the words that they use every day in their business conversations. A business glossary is a form of data model that defines data in business terms. It is also a metadata management capability which is the foundation for all things "semantic", which contains the different meanings of words and terms. Data Discovery Services manage Data Catalogs to: * Gain a unified view to minimize the effort of searching for the right data. * Support enriching data with technical and business metadata (tagging). * Improve data management to increase operational efficiency and productivity.