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Fundamentals of Real-Time Data Processing Architectures Lambda and Kappa

Martin Feick; Niko Kleer; Marek Kohn
In: Gesellschaft für Informatik (Hrsg.). GI-Edition. Seminars, Vol. S14 - SKILL 2018 - Studierendenkonferenz Informatik, 26. und 27. September 2018 Berlin, Pages 55-66, Gesellschaft für Informatik e.V. Bonn, 2018.


The amount of data and theim portance of simple, scalable and fault tolerant architectures for processing the data keeps increasing. Big Data being a highly influential topic in numerous businesses has evolved a comprehensive interest in this data. The Lambda as well as the Kappa Architecture represent state-of-the-art real-time data processing architectures for Coping with massive data streams.This paper investigates and compares both architectures with respect to their capabilities and implementation. Moreover, a case study is conducted in order to gain more detailed insights concerning their strengths and weaknesses.