HyDash: A dashboard for real-time business intelligence based on the hyPer Main memory database system
dc.contributor.author | Steinkamp, Maren | |
dc.contributor.author | Mühlbauer, Tobias | |
dc.contributor.editor | Saake, Gunter | |
dc.contributor.editor | Henrich, Andreas | |
dc.contributor.editor | Lehner, Wolfgang | |
dc.contributor.editor | Neumann, Thomas | |
dc.contributor.editor | Köppen, Veit | |
dc.date.accessioned | 2018-10-24T10:44:45Z | |
dc.date.available | 2018-10-24T10:44:45Z | |
dc.date.issued | 2013 | |
dc.description.abstract | Business Intelligence (BI) is a set of techniques that help improve business decision making. From a technical point of view, BI relies on a set of tools which includes performance dashboards: layered services that combine monitoring, analysis, and reporting. However, most dashboard solutions today are based on data warehouses which face a problem of data staleness-a circumstance caused by the separation of transactional and analytical processing. Novel hybrid main memory database systems such as SAP's HANA or HyPer overcome this issue and achieve best-of-breed transaction processing throughput and analytical query response times in one system in parallel on the same database state. In this work, we contribute HyDash, a web-based dashboard for real-time business intelligence. HyDash visualizes key performance indicators (KPIs) based on predefined SQL queries and provides an ad-hoc SQL query interface to dynamically extend the scope of the dashboard. HyDash relies on (i) hybrid main memory database systems and (ii) a push-based query result update mechanism based on the novel HTML5 WebSockets. | en |
dc.identifier.isbn | 978-3-88579-610-7 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/17436 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Datenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-216 | |
dc.title | HyDash: A dashboard for real-time business intelligence based on the hyPer Main memory database system | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 226 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 217 | |
gi.conference.date | 11.-12. März 2013 | |
gi.conference.location | Magdeburg | |
gi.conference.sessiontitle | Regular Research Papers |
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