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  • Data 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 …   Wikipedia

  • Data structure alignment — is the way data is arranged and accessed in computer memory. It consists of two separate but related issues: data alignment and data structure padding. When a modern computer reads from or writes to a memory address, it will do this in word sized …   Wikipedia

  • Data as a service — Data as a service, or DaaS, is a cousin of software as a service[1]. Like all members of the as a Service (aaS) family, DaaS is based on the concept that the product, data in this case, can be provided on demand[2] to the user regardless of… …   Wikipedia

  • Data Smog — is a 1997 book by journalist David Shenk and published by Harper Collins. It deals with the author s idea of how the information technology revolution would shape the world at large and how the incredible amount of data available on the Internet… …   Wikipedia

  • Data warehouse — Overview In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations… …   Wikipedia

  • Data Vault Modeling — is a database modeling method that is designed to provide historical storage of data coming in from multiple operational systems. It is also a method of looking at historical data that, apart from the modeling aspect, deals with issues such as… …   Wikipedia

  • Data compression —   Data in computers are normally stored in a way which causes every character (including spaces) to occupy the same amount of memory space. This is usually an eight digit code consisting of 0s and 1s. As the amount of data needed to be held in… …   International financial encyclopaedia

  • Data 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 …   Wikipedia

  • Data remanence — is the residual representation of data that remains even after attempts have been made to remove or erase the data. This residue may result from data being left intact by a nominal file deletion operation, by reformatting of storage media that… …   Wikipedia

  • Data quality — Data are of high quality if they are fit for their intended uses in operations, decision making and planning (J. M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real world construct to which they… …   Wikipedia

  • Data dredging — (data fishing, data snooping) is the inappropriate (sometimes deliberately so) use of data mining to uncover misleading relationships in data. Data snooping bias is a form of statistical bias that arises from this misuse of statistics. Any… …   Wikipedia

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