Big Data Analysis

Domingue, John; Lasierra, Nelia; Fensel, Anna; van Kasteren, Tim; Strohbach, Martin and Thalhammer, Andreas (2016). Big Data Analysis. In: Cavanillas, José María; Curry, Edward and Wahlster, Wolfgang eds. New Horizons for a Data-Driven Economy: A Roadmap for Usage and Exploitation of Big Data in Europe. Springer Open, pp. 63–86.

DOI: https://doi.org/10.1007/978-3-319-21569-3_5

Abstract

The value of big data is predicated on the ability to detect trends and patterns and more generally to make sense of the large volumes of data that is often comprised of a heterogeneous mix of format, structure, and semantics. Big data analysis is the component of the big data value chain that focuses on transforming raw acquired data into a coherent usable resource suitable for analysis. Using a range of interviews with key stakeholders in small and large companies and academia, this chapter outlines key insights, state of the art, emerging trends, future requirements, and sectorial case studies for data analysis.

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