Challenging Big Data Engineering: Positioning of Current and Future Development

Matthias Volk · Daniel Gunnar Staegemann · Matthias Pohl · Klaus Turowski

25 citations0/0 files storedInternational Conference on Internet of Things, Big Data and Security (IoTBDS)

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Big Data Technologies and Applications Cloud Computing and Resource Management Big Data and Business Intelligence

Abstract

This contribution examines the terms of big data and big data engineering, considering the specific characteristics and challenges. Deduced by those, it concludes the need for new ways to support the creation of corresponding systems to help big data in reaching its full potential. In the following, the state of the art is analysed and subdomains in the engineering of big data solutions are presented. In the end, a possible concept for filling the identified gap is proposed and future perspectives are highlighted.

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