Big Data in Higher Education

View Sample PDF

Author(s): Marta Vidal (Complutense University of Madrid, Spain), Javier Vidal-García (University of Valladolid, Spain)and Rafael Hernández Barros (Complutense University of Madrid, Spain)
Copyright: 2017
Pages: 16
Source title: Handbook of Research on Emerging Business Models and Managerial Strategies in the Nonprofit Sector
Source Author(s)/Editor(s): Lindy Lou West (Griffith University, Australia)and Andrew Worthington (Griffith University, Australia)
DOI: 10.4018/978-1-5225-2537-0.ch001

Keywords: Business Science Reference / Government & Law / Public & Sector Management / Public and Sector Management

Purchase

View Big Data in Higher Education on the publisher's website for pricing and purchasing information.

Abstract

Big Data refers to large volumes of information – on diseases, ticket sales, and so on – that standard database tools such as MySQL and Oracle, cannot easily process. Thus, data analytics tools, such as InfoGram and Google Fusion Tables, are required to manage the information. The processed data is useful in several ways. For instance, public health officials may use the results of the analysis to explain the spread of viruses including the H1N1 virus (Mayer-Schönberger & Cukier, 2014, p. 2). Airplane companies may use the results to predict changes in ticket prices. Apart from the medical and aviation industries, institutions of higher learning also collect significantly large quantities of data. Hence, the analysis of Big Data also takes place in higher education. The beneficiaries of the analysis include students and administrators.

The IRMA Community

Research IRM

Big Data in Higher Education

Purchase

Abstract

Related Content

IRMA Sponsors