quality assurance control - translation to ρωσικά
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quality assurance control - translation to ρωσικά

STATE OF QUALITATIVE OR QUANTITATIVE PIECES OF INFORMATION
Data quality assurance; Data quality control; Data Quality; Quality data

quality assurance control      
контроль за гарантией качества
quality assurance         
WAY OF PREVENTING MISTAKES OR DEFECTS IN MANUFACTURED PRODUCTS AND AVOIDING PROBLEMS WHEN DELIVERING SOLUTIONS OR SERVICES TO CUSTOMERS; (ISO 9000) PART OF QUALITY MANAGEMENT FOCUSED ON PROVIDING CONFIDENCE THAT QUALITY REQUIREMENTS WILL BE FULFILLED
Quality assessment; Quality Assessment; Quality Assurance; Systems assurance; Quality assurance program; Aseguradores de la calidad; QA Engineer
гарантия качества
quality assurance         
WAY OF PREVENTING MISTAKES OR DEFECTS IN MANUFACTURED PRODUCTS AND AVOIDING PROBLEMS WHEN DELIVERING SOLUTIONS OR SERVICES TO CUSTOMERS; (ISO 9000) PART OF QUALITY MANAGEMENT FOCUSED ON PROVIDING CONFIDENCE THAT QUALITY REQUIREMENTS WILL BE FULFILLED
Quality assessment; Quality Assessment; Quality Assurance; Systems assurance; Quality assurance program; Aseguradores de la calidad; QA Engineer
обеспечение качества; гарантия качества

Ορισμός

АРУЗ
(аруд) (араб.), система метрического стихосложения, возникшая в классической арабской поэзии и распространенная (вплоть до 20 в.) в ряде стран Ближнего и Ср. Востока. Ритмообразующий элемент стиха в арузе - варьирующееся чередование долгих и кратких слогов.

Βικιπαίδεια

Data quality

Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as the number of data sources increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose. When this is the case, data governance is used to form agreed upon definitions and standards for data quality. In such cases, data cleansing, including standardization, may be required in order to ensure data quality.

Μετάφραση του &#39quality assurance control&#39 σε Ρωσικά