
Nonstandard approach to data processing based on joint use of real time analytical processing as well as key indicators of performance and technology of data mining has been examined. The main principles of this approach, application domains, basic terms, as well as main advantages in comparison with classical methods of data processing are discussed. Special attention is given to practical application of this approach in knowledge domain connected with students" scientific research in higher schools.
Рассматривается способ обработки данных, основанный на совместном использовании аналитической обработки в реальном времени, а также ключевых индикаторов производительности и технологии извлечения данных. Обсуждаются принципы реализации способа, области применения, базовые термины, а также преимущества по сравнению с классическими способами решения подобных задач. Особое внимание уделяется практическому применению данного подхода в предметной области, связанной с НИРС в вузе.
обработка данных, ключевые индикаторы производительности
обработка данных, ключевые индикаторы производительности
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