TY - CHAP U1 - Buchbeitrag A1 - Kehrer, Stefan A1 - Jugel, Dierk A1 - Zimmermann, Alfred ED - Hertweck, Dieter T1 - A systematic literature review of big data literature for EA evolution T2 - Digital Enterprise Computing (DEC 2016) : Böblingen, Germany, June 14 - 15, 2016 N2 - Many organizations identified the opportunities of big data analytics to support the business with problem-specific insights through the exploitation of generated data. Socio-technical solutions are developed in big data projects to reach competitive advantage. Although these projects are aligned to specific business needs, common architectural challenges are not addressed in a comprehensive manner. Enterprise architecture management is a holistic approach to tackle the complex business and IT architecture. The transformation of an organization's EA is influenced by big data projects and their data-driven approach on all layers. To enable strategy­ oriented development of the EA it is essential to synchronize these projects supported by EA management. In this paper, we conduct a systematic review of big data literature to analyze which requirements for the EA management discipline are proposed. Thereby, a broad overview about existing research is presented to facilitate a more detailed exploration and to foster the evolution o the EA management discipline. KW - enterprise architecture KW - enterprise architecture management KW - big data management KW - big data projects KW - EA evolution Y1 - 2016 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9357 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9357 UR - http://subs.emis.de/LNI/Proceedings/Proceedings258/article10.html SN - 978-3-88579-652-7 SB - 978-3-88579-652-7 SP - 209 EP - 220 S1 - 12 PB - Gesellschaft für Informatik CY - Bonn ER -