Efficient OLAP Operations in Spatial Data Warehouses
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Spatial hierarchy and OLAP-favored search in spatial data warehouse
DOLAP '03 Proceedings of the 6th ACM international workshop on Data warehousing and OLAP
Evaluation of top-k OLAP queries using aggregate r–trees
SSTD'05 Proceedings of the 9th international conference on Advances in Spatial and Temporal Databases
High-performance online spatial and temporal aggregations on multi-core CPUs and many-core GPUs
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
| Hi-index | 0.00 |
Spatial OLAP refers to the confluence of two technologies: spatial data management and OLAP for non-spatial data. An example query on spatial OLAP data is to find the total amount of gas sold within a period of time, of certain type of gas, to a certain type of customers, by gas stations located within a query window on a map. A framework has been established in [8], which converts this query into a set of queries for a general-purpose ROLAP system. However, there has been little done at the query optimization level, once they are submitted to the OLAP system. In this paper, we develop and implement 3 query processing strategies of very different nature on our experimental MOLAP system. Detailed experimental performance data are presented, using a real-life spatial database with 1/3 million of spatial objects.