Terracotta in-genius: An in-memory platform for actionable intelligence on big fast data (invited presentation)
| dc.contributor.author | Krämer, Jürgen | |
| dc.contributor.editor | Horbach, Matthias | |
| dc.date.accessioned | 2019-03-07T09:33:11Z | |
| dc.date.available | 2019-03-07T09:33:11Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | In today's application landscape, a post-hoc analysis of Big Data is often no longer sufficient; business success requires situation awareness and immediate action. To achieve that, best-in-class Big Data applications are twice as likely than the industry average to use in-memory technology, according to Aberdeen Group [A13]. In-Genius is the first scalable in-memory platform for immediate insights and profitable action from high-velocity, high-value enterprise data [T13]. It powers apps that were previously unimaginable by driving intelligent, real-time action based on insights gleaned from vast amounts of data managed in ultra-fast in-memory stores. | en |
| dc.identifier.isbn | 978-3-88579-614-5 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/20766 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | INFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-220 | |
| dc.title | Terracotta in-genius: An in-memory platform for actionable intelligence on big fast data (invited presentation) | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 416 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 416 | |
| gi.conference.date | 16.-20. September 2013 | |
| gi.conference.location | Koblenz | |
| gi.conference.sessiontitle | Regular Research Papers |
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