volume data
11Data sharing — is the practice of making data used for scholarly research available to other investigators. Replication has a long history in science. The motto of The Royal Society is Nullius in verba , translated Take no man s word for it. [1] Many funding… …
12Data 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 …
13Data East — Corporation 株式会社データイースト Former type Public Industry Computer and video game industry Fate Bankruptcy …
14Data's Day — Star Trek: The Next Generation episode Dr. Crusher teaches Data tap dancing. Episode no …
15Volume hologram — Volume holograms are holograms where the thickness of the recording material is much larger than the light wavelength used for recording. In this case diffraction of light from the hologram is possible only as Bragg diffraction, i.e., the light… …
16Data 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… …
17Data Management Inc. — Data Management Inc. Type Private Industry Computer software Digital distribution Founded …
18Volume testing — belongs to the group of non functional tests, which are often misunderstood and/or used interchangeably. Volume testing refers to testing a software application for a certain data volume. This volume can in generic terms be the database size or… …
19Volume Arrival Profile — (VAP) A series of computer programs that analyze data transferred from the information systems service centers. The data is averaged to provide the Post Office Schedular system with the necessary records to make up an arrival profile for all… …
20Data Envelopment Analysis — (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision making units (or DMUs). There are also parametric approaches… …
