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Managing Lifecycle of Big Data Applications

: Ermilov, Ivan; Ngonga Ngomo, Axel-Cyrille; Versteden, Aad; Jabeen, Hajira; Sejdiu, Gezim; Argyriou, Giorgos; Selmi, Luigi; Jakobitsch, Jürgen; Lehmann, Jens


Różewski, P.:
Knowledge engineering and semantic web. 8th International Conference, KESW 2017 : Szczecin, Poland, November 8-10, 2017; Proceedings
Cham: Springer International Publishing, 2017 (Communications in computer and information science 786)
ISBN: 978-3-319-69547-1 (Print)
ISBN: 978-3-319-69548-8 (Online)
ISBN: 3-319-69547-9
International Conference on Knowledge Engineering and Semantic Web (KESW) <8, 2017, Szczecin>
Conference Paper
Fraunhofer IAIS ()

The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced continuously, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. To process this data, we developed the Big Data Integrator (BDI) Platform with various Big Data components available out-of-the-box. The integration of the components inside the BDI Platform requires components homogenization, which leads to the standardization of the development process. To support these activities we created the BDI Stack Lifecycle (SL), which consists of development, packaging, composition, enhancement, deployment and monitoring steps. In this paper, we show how we support the BDI SL with the enhancement applications developed in the BDE project. As an evaluation, we demonstrate the applicability of the BDI SL on three pilots in the domains of transport, social sciences and security.