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The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage.. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a ...
Data virtualization. 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 ...
Data technology (may be shortened to DataTech or DT) is the technology connected to areas such as martech or adtech. Data technology sector includes solutions for data management, and products or services that are based on data generated by both human and machines. [1] DataTech is an emerging industry that uses Artificial Intelligence, Big Data ...
The term data processing has mostly been subsumed by the more general term information technology (IT). The older term "data processing" is suggestive of older technologies. For example, in 1996 the Data Processing Management Association (DPMA) changed its name to the Association of Information Technology Professionals. Nevertheless, the terms ...
A 2018 definition states "Big data is where parallel computing tools are needed to handle data", and notes, "This represents a distinct and clearly defined change in the computer science used, via parallel programming theories, and losses of some of the guarantees and capabilities made by Codd's relational model ."
Enterprise data management ( EDM) is the ability of an organization to precisely define, easily integrate and effectively retrieve data for both internal applications and external communication. EDM focuses on the creation of accurate, consistent, and transparent content. EDM emphasizes data precision, granularity, and meaning and is concerned ...
Master data management. Master data management ( MDM) is a discipline in which business and information technology work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets. [1] [2]
Product data management (PDM) serves as a central knowledge repository for process and product history and promotes integration and data exchange among all business users who interact with products — including project managers, engineers, salespeople, buyers, and quality assurance teams. The central database will also manage metadata such as ...
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