IBM's Analytic Warehouse Cloud Service
| dc.contributor.author | Steinbach, Torsten | |
| dc.contributor.author | Wurst, Michael | |
| dc.contributor.editor | Plödereder, E. | |
| dc.contributor.editor | Grunske, L. | |
| dc.contributor.editor | Schneider, E. | |
| dc.contributor.editor | Ull, D. | |
| dc.date.accessioned | 2017-07-26T11:01:09Z | |
| dc.date.available | 2017-07-26T11:01:09Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Moving data warehousing into the cloud is a major opportunity for enterprises. It is also a challenge for traditional database management technology. Some of the novel requirements for a successful cloud data warehouse include simplicity (no tuning), seamless scalability, security, efficient data movement and integration with third-party tools. IBM addresses these challenges through its analytics warehouse as a service offering that is powered by IBM's BLU technology. | en |
| dc.identifier.isbn | 978-3-88579-626-8 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Informatik 2014 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-232 | |
| dc.title | IBM's Analytic Warehouse Cloud Service | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 751 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 751 | |
| gi.conference.date | 22.-26. September 2014 | |
| gi.conference.location | Stuttgart |