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The concept of data management arose in the 1980s as technology moved from sequential processing [ 2] (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 ...
v. t. e. Information technology ( IT) is a set of related fields that encompass computer systems, software, programming languages, and data and information processing, and storage. [ 1] IT forms part of information and communications technology (ICT). [ 2] An information technology system ( IT system) is generally an information system, a ...
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 ( 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]
A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision. The figure is an example of the interaction between process and data models.
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 ...
Data quality control is the process of controlling the usage of data for an application or a process. This process is performed both before and after a Data Quality Assurance (QA) process, which consists of discovery of data inconsistency and correction. Before: Restricts inputs.
Here data governance is a data management concept concerning the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data, and data controls are implemented that support business objectives. The key focus areas of data governance include availability, usability, consistency ...