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A federated database system (FDBS) is a type of meta-database management system (DBMS), which transparently maps multiple autonomous database systems into a single federated database. The constituent databases are interconnected via a computer network and may be geographically decentralized. Since the constituent database systems remain ...
Federated architecture. Federated architecture (FA) is a pattern in enterprise architecture that allows interoperability and information sharing between semi-autonomous de-centrally organized lines of business (LOBs), information technology systems and applications. Architecture areas of concern. Organisational architecture; Business architecture
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A federated identity in information technology is the means of linking a person's electronic identity and attributes, stored across multiple distinct identity management systems. [ 1 ] Federated identity is related to single sign-on (SSO), in which a user's single authentication ticket, or token , is trusted across multiple IT systems or even ...
When federated search is performed against secure data sources, the users' credentials must be passed on to each underlying search engine, so that appropriate security is maintained. If the user has different login credentials for different systems, there must be a means to map their login ID to each search engine's security domain. [8]
Shibboleth 1.3 and earlier do not provide a built-in authentication mechanism, but any Web-based authentication mechanism can be used to supply user data for Shibboleth to use. Common systems for this purpose include CAS or Pubcookie. The authentication and single-sign-on features of the Java container in which the IdP runs (Tomcat, for example ...
Federated is a storage engine for the MySQL MariaDB relational database management system that allows creation of a table that is a local representation of a foreign (remote) table. It uses the MySQL client library API as a data transport, treating remote tables as if they were located on the local server.
Data mesh is based on four core principles: [17] Domain ownership; Data as a product [18]; Self-serve data platform; Federated computational governance; In addition to these principles, Dehghani writes that the data products created by each domain team should be discoverable, addressable, trustworthy, possess self-describing semantics and syntax, be interoperable, secure, and governed by ...