Fundamentals of Real-Time Data Processing Architectures Lambda and Kappa
| dc.contributor.author | Feick, Martin | |
| dc.contributor.author | Kleer, Niko | |
| dc.contributor.author | Kohn, Marek | |
| dc.contributor.editor | Becker, Michael | |
| dc.date.accessioned | 2019-10-14T11:50:23Z | |
| dc.date.available | 2019-10-14T11:50:23Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | The amount of data and the importance 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. | en |
| dc.identifier.isbn | 978-3-88579-448-6 | |
| dc.identifier.pissn | 1614-3213 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/28983 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | SKILL 2018 - Studierendenkonferenz Informatik | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Seminars, Volume S-14 | |
| dc.subject | Software architecture | |
| dc.subject | Big Data | |
| dc.subject | real-time data processing | |
| dc.subject | Lambda and Kappa architecture | |
| dc.title | Fundamentals of Real-Time Data Processing Architectures Lambda and Kappa | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 66 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 55 | |
| gi.conference.date | 26.-27. September 2018 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | Multimedia und Datenverarbeitung |
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