data systems test
1Consultative Committee for Space Data Systems — The Consultative Committee for Space Data Systems (CCSDS) was formed in 1982 by the major space agencies of the world to provide a forum for discussion of common problems in the development and operation of space data systems. The Committee meets …
2Tritium Systems Test Assembly (TSTA) — Facility Description The Tritium Systems Test Assembly (TSTA) was a facility at Los Alamos National Laboratory dedicated to the development and demonstration of technologies required for fusion relevant Deuterium Tritium processing. The facility… …
3Data acquisition — is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer. Data acquisition systems (abbreviated with the acronym DAS or… …
4Data security — is the means of ensuring that data is kept safe from corruption and that access to it is suitably controlled. Thus data security helps to ensure privacy. It also helps in protecting personal data. Data security is part of the larger practice of… …
5Test method — A test method is a definitive procedure that produces a test result. (ASTM definition)The test result can be qualititive (yes/no), categorical, or quantititive (a measured value). It can be a personal observation or the output of a precision… …
6Data General Nova — System Data General Nova 1200 front panel …
7Systems engineering — is an interdisciplinary field of engineering that focuses on how complex engineering projects should be designed and managed. Issues such as logistics, the coordination of different teams, and automatic control of machinery become more difficult… …
8Systems Applications Products audit — is when a computer system from SAP undegoes an audit to check its security and data integrity. SAP is the acronym for Systems, Applications, Products. It is a system that provides users with a soft real time business application. It contains a… …
9Data masking — is the process of obscuring (masking) specific data elements within data stores. It ensures that sensitive data is replaced with realistic but not real data. The goal is that sensitive customer information is not available outside of the… …
10Data transformation — Data transformation/Source transformation Concepts metadata · data mapping data transformation · model transf …
