nalyse-Lifecycle heterogener Informationen auf Basis von Hadoop und Visual Analytics
| dc.contributor.author | Zimmer, Petra | |
| dc.contributor.author | Reussner, Frank | |
| dc.contributor.editor | Fretag,Ulrike | |
| dc.contributor.editor | Fuchs-Kittowski, Frank | |
| dc.contributor.editor | Hosenfeld, Friedhelm | |
| dc.contributor.editor | Abecker, Andreas | |
| dc.contributor.editor | Kudraß, Thomas | |
| dc.date.accessioned | 2019-11-22T16:41:46Z | |
| dc.date.available | 2019-11-22T16:41:46Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | Gaining an insight on the company’s mass of data was a common goal in the last few years. But information is growing exponentially and companies yearn for a data man-agement system that is able to work with heterogenic data from different sources. A possible answer is the Hadoop Data Platform. With its diverse components, it makes several ways of data management as a foundation for the analysis. The possibilities of Hadoop range from parallelized SQL-Queries to machine learning algorithms. Com-bined with a visual analytics tool you can gain a deep insight in your own data. This article illustrates an analysis lifecycle of the visual analytics tool Qlik with a connected Hadoop system using the example of European air quality data. | de |
| dc.description.uri | http://ceur-ws.org/Vol-1781/paper11.pdf | de |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/30221 | |
| dc.language.iso | de | |
| dc.publisher | CEUR-WS.org | |
| dc.relation.ispartof | Umweltinformationssysteme 2016 - Umweltbeobachtung: Nah und Fern | |
| dc.relation.ispartofseries | Workshops "AK Umweltinformationssysteme" | |
| dc.title | nalyse-Lifecycle heterogener Informationen auf Basis von Hadoop und Visual Analytics | de |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Leipzig | |
| gi.conference.date | 2016 | |
| gi.conference.location | Leipzig |