| dc.contributor.author | Tinnefeld, Christian | en_US |
| dc.date.accessioned | 2016-06-10T08:32:23Z | |
| dc.date.available | 2016-06-10T08:32:23Z | |
| dc.date.issued | 2016 | en_US |
| dc.identifier.isbn | 978-3-319-20710-0 | en_US |
| dc.identifier.isbn | 978-3-319-20711-7 | en_US |
| dc.identifier.other | HPU1160125 | en_US |
| dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/21178 | |
| dc.description.abstract | This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. | en_US |
| dc.format.extent | 139 p. | en_US |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer International Publishing | en_US |
| dc.relation.ispartofseries | In-Memory Data Management Research | en_US |
| dc.subject | Intelligent information | en_US |
| dc.subject | Database systems | en_US |
| dc.subject | Database management | en_US |
| dc.title | Building a columnar database on RAMCloud: Database design for the low-latency enabled data center | en_US |
| dc.type | Book | en_US |
| dc.size | 3,432KB | en_US |
| dc.department | English resources | en_US |
