Shrivenham, United Kingdom

Big Data Analytics for Industrial Application

Language: English Studies in English
Subject area: computer science
University website: www.cranfield.ac.uk
Analytics
Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance.
Application
Application may refer to:
Big Data
Big data is data sets that are so voluminous and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Data
Data ( DAY-tə, DAT-ə, DAH-tə) is a set of values of qualitative or quantitative variables.
Industrial
Industrial may refer to:
An EU study worked to determine the role of atmospheric aerosols in climate processes. Satellite data show the distribution of atmospheric particle sizes, facilitating constant monitoring, issue of warnings, and better understanding of the dynamics.
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