Большие данные: аналитические решения, исследовательские задачи и тенденции
https://doi.org/10.15514/ISPRAS-2020-32(1)-10
Аннотация
Термин «большие данные» относится к объемным коллекциям цифровых данных, генерируемых каждую секунду. Производимые наборы данных представлены в структурированном, полуструктурированном и неструктурированном форматах по всему миру, и их трудно анализировать с применением традиционных систем управления базами данных. В последнее время аналитика больших данных становится важной областью исследований из-за популярности Интернета и появления новых веб-технологий. Эта растущая область исследований представляет собой междисциплинарную деятельность, которая привлекает исследователей из различных областей. Исследователи проектируют, разрабатывают и внедряют инструменты, технологии, архитектуры и платформв для анализа этих больших объемов данных. Эта статья начинается с краткого введения в проблематику большие данные и связанные с ними концепции, включая основные характеристики больших данных, после чего обсуждаются наиболее важные открытые исследовательские проблемы и возникающие тенденции. Далее приводится обзор исследований в области аналитики больших данных, обсуждаются преимущества использования решений для больших данных и обсуждаются виды оценок, требуемых перед переходом с традиционных решений. Наконец, представлен обзор основных существующих приложений, обеспечивающий общую панораму аналитики больших данных.
Ключевые слова
Об авторах
Ноаман Мухаммед Али
Университет Порт-Саида, Египет; Санкт-Петербургский государственный университет, Россия
Египет
Ассистент на кафедре информационных технологий и систем университета Порт-Саида, аспирант кафедры информатики Санкт-Петербургского государственного университета
Египет
Ассистент на кафедре информационных технологий и систем университета Порт-Саида, аспирант кафедры информатики Санкт-Петербургского государственного университета
Борис Асенович Новиков
Национальный исследовательский университет «Высшая школа экономики»
Россия
Доктор физико-математических наук, профессор, кафедра информатики в НИУ ВШЭ, Санкт-Петербург
Россия
Доктор физико-математических наук, профессор, кафедра информатики в НИУ ВШЭ, Санкт-Петербург
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Рецензия
Для цитирования:
Али Н.М., Новиков Б.А. Большие данные: аналитические решения, исследовательские задачи и тенденции. Труды Института системного программирования РАН. 2020;32(1):181-204. https://doi.org/10.15514/ISPRAS-2020-32(1)-10
For citation:
Ali N.M., Novikov B.A. Big Data: Analytical Solutions, Research Challenges and Trends. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2020;32(1):181-204. https://doi.org/10.15514/ISPRAS-2020-32(1)-10
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