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1Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their …
2Data integrity — in its broadest meaning refers to the trustworthiness of system resources over their entire life cycle. In more analytic terms, it is the representational faithfulness of information to the true state of the object that the information represents …
3Item tree analysis — (ITA) is a data analytical method which allows constructing ahierarchical structure on the items of a questionnaire or test from observed responsepatterns. Assume that we have a questionnaire with m items and that subjects cananswer positive (1)… …
4Data consistency — summarizes the validity, accuracy, usability and integrity of related data between applications and across an IT enterprise. This ensures that each user observes a consistent view of the data, including visible changes made by the user s own… …
5Data driven journalism — is a journalistic process based on analyzing and filtering large data sets for the purpose of creating a new story. Data driven journalism deals with open data that is freely available online and analyzed with open source tools.[1] Data driven… …
6Data — For data in a computer science context, see Data (computing). For other senses of the word, see Data (disambiguation). See also datum, a disambiguation page. The term data refers to qualitative or quantitative attributes of a variable or set of… …
7data — n.pl. (also treated as sing., as in that is all the data we have, although the singular form is strictly datum) 1 known facts or things used as a basis for inference or reckoning. 2 quantities or characters operated on by a computer etc. Phrases… …
8data compression — Process of reducing the amount of data needed for storage or transmission of a given piece of information (text, graphics, video, sound, etc.), typically by use of encoding techniques. Data compression is characterized as either lossy or lossless …
9Stack (data structure) — In computer science, a stack is an abstract data type and data structure based on the principle of Last In First Out (LIFO) . Stacks are used extensively at every level of a modern computer system. For example, a modern PC uses stacks at the… …
10Dimension (data warehouse) — This article is about a dimension in a data warehouse. For other uses, see dimension (disambiguation). In a data warehouse, a dimension is a data element that categorizes each item in a data set into non overlapping regions. A data warehouse… …
