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Electronic data interchange is a successful implementation of commercial data exchanges that began in the late 1970s and remains in use today. [5] Some controversy comes when discussing regulations regarding information exchange. [6] Initiatives to standardize information sharing protocols include extensible markup language , simple object ...
Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).
The following is provided as an overview of and topical guide to databases: Database – organized collection of data, today typically in digital form. The data are typically organized to model relevant aspects of reality (for example, the availability of rooms in hotels), in a way that supports processes requiring this information (for example, finding a hotel with vacancies).
Unlike parallel systems, in which the processors are tightly coupled and constitute a single database system, a distributed database system consists of loosely coupled sites that share no physical components. System administrators can distribute collections of data (e.g. in a database) across multiple physical locations. A distributed database ...
Operational database management systems (also referred to as OLTP databases or online transaction processing databases), are used to update data in real-time. These types of databases allow users to do more than simply view archived data. Operational databases allow you to modify that data (add, change or delete data), doing it in real-time. [1]
A relational database (RDB [1]) is a database based on the relational model of data, as proposed by E. F. Codd in 1970. [2]A database management system used to maintain relational databases is a relational database management system (RDBMS).
Data sharing may also be restricted to protect institutions and scientists from use of data for political purposes. Data and methods may be requested from an author years after publication. In order to encourage data sharing [3] and prevent the loss or corruption of data, a number of funding agencies and journals established policies on data ...
Content management systems: Storage and repository systems for content; may be a database or a specialized storage system; Databases administer information, and can also store documents, content, or media. Data warehouses: Complex storage systems based on databases, which provide information from a variety of sources. They may be designed with ...