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In information technology, a disparate system or a disparate data system is a computer data processing system that was designed to operate as a fundamentally distinct [1] data processing system without exchanging data or interacting with other computer data processing systems.
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).
A heterogeneous database system is an automated (or semi-automated) system for the integration of heterogeneous, disparate database management systems to present a user with a single, unified query interface. Heterogeneous database systems (HDBs) are computational models and software implementations that provide heterogeneous database integration.
Source systems of data (often, the company's operational databases, such as relational databases [3]); Data integration technology and processes to extract data from source systems, transform them, and load them into a data mart or warehouse; [3] Architectures to store data in the warehouse or marts; Tools and applications for varied users;
Data preparation is the act of manipulating (or pre-processing) raw data (which may come from disparate data sources) into a form that can be readily and accurately analysed, e.g. for business purposes.
There is no actual data integration in the constituent disparate databases as a result of data federation. Through data abstraction , federated database systems can provide a uniform user interface , enabling users and clients to store and retrieve data from multiple noncontiguous databases with a single query —even if the constituent ...
Data virtualization is an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted at source, or where it is physically located, [1] and can provide a single customer view (or single view of any other entity) of the overall data.
Uniform data access is a computational concept describing an even-ness of connectivity and controllability across numerous target data sources.. Necessary to fields such as Enterprise Information Integration (EII) and Electronic Data Interchange (EDI), it is most often used regarding analysis of disparate data types and data sources, which must be rendered into a uniform information ...