- data analysis cycle
- DAC, data analysis cycle, data assessment cycleэтап анализа проекта, этап оценки проекта
English-Russian dictionary of program "Mir-Shuttle". С.В. Курбатов.. 2015.
English-Russian dictionary of program "Mir-Shuttle". С.В. Курбатов.. 2015.
Data & Analysis Center for Software — The Data Analysis Center for Software (DACS) is one of several United States Department of Defense (DoD) sponsored Information Analysis Centers (IACs), administered by the Defense Technical Information Center (DTIC). It is technically managed by… … Wikipedia
Global Ocean Data Analysis Project — The Global Ocean Data Analysis Project (GLODAP) is a synthesis project bringing together oceanographic data collected during the 1990s by research cruises on the World Ocean Circulation Experiment (WOCE), Joint Global Ocean Flux Study (JGOFS) and … Wikipedia
Global Ocean Data Analysis Project — Le « Global Ocean Data Analysis Project » (ou GLODAP) est un programme scientifique synthétique visant à rassembler les résultats de plusieurs bases de données océanographiques rassemblées dans les années 1990 au cours de voyages faits… … Wikipédia en Français
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 assimilation — Applications of data assimilation arise in many fields of geosciences, perhaps most importantly in weather forecasting and hydrology. Data assimilation proceeds by analysis cycles. In each analysis cycle, observations of the current (and possibly … Wikipedia
analysis — a‧nal‧y‧sis [əˈnælss] noun analyses PLURALFORM [ siːz] [countable, uncountable] 1. a careful examination of something in order to understand it better: • The researchers carried out a detailed analysis of recent trends in share prices. •… … Financial and business terms
Data profiling — is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data. The purpose of these statistics may be to: Find out whether existing data can easily… … Wikipedia
Data architecture — in enterprise architecture is the design of data for use in defining the target state and the subsequent planning needed to achieve the target state. It is usually one of several architecture domains that form the pillars of an enterprise… … Wikipedia
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 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… … Wikipedia