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Data synchronization is the process of establishing consistency between source and target data stores, and the continuous harmonization of the data over time. It is fundamental to a wide variety of applications, including file synchronization and mobile device synchronization.
Enterprise file synchronization and sharing (also known as EFSS and enterprise file sync and share) refers to software services that enable organizations to securely synchronize and share documents, photos, videos and files from multiple devices with employees, and external customers and partners. Organizations often adopt these technologies to ...
(the START bit), waits 'half a bit duration' and then reads the value of the signal. A further delay of one 'whole bit duration' is executed before the next data bit is 'read' - repeating for the length of the whole serial word (typically 7/8-data bits). An optional PARITY bit follows the data bits and precedes the stop bit(s).
Synchronization is an emergent property that occurs in a broad range of dynamical systems, including neural signaling, the beating of the heart and the synchronization of fire-fly light waves. A unified approach that quantifies synchronization in chaotic systems can be derived from the statistical analysis of measured data. [3]
File synchronization (or syncing) in computing is the process of ensuring that computer files in two or more locations are updated via certain rules. In one-way file synchronization , also called mirroring , updated files are copied from a source location to one or more target locations, but no files are copied back to the source location.
Synchronization in communications was a hard problem for Alexander Bain in the development of the teleprinter. [1] Thomas Edison achieved synchronization in his stock ticker with a clunky but effective unison mechanism to resynchronize periodically. [ 2 ]
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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).