Multi-table joins through bitmapped join indices
ACM SIGMOD Record
New TPC benchmarks for decision support and web commerce
ACM SIGMOD Record
Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes
IEEE Transactions on Knowledge and Data Engineering
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
Materialization of fragmented views in multidimensional databases
Data & Knowledge Engineering
Balanced Spatio-Temporal Data Warehouse with R-MVB, STCAT and BITMAP Indexes
PARELEC '06 Proceedings of the international symposium on Parallel Computing in Electrical Engineering
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications)
Should SDBMS support a join index?: a case study from CrimeStat
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Dimension table driven approach to referential partition relational data warehouses
Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP
Physical design and implementation of spatial data warehouses supporting continuous fields
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
Benchmarking spatial data warehouses
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
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 |
Drill-across SOLAP queries (spatial OLAP queries) allow for strategic decision-making through the use of numeric measures from distinct fact tables that share dimensions and by the evaluation of spatial predicates. Despite the importance of these queries in geographic data warehouses (GDWs), there is a lack of research aimed at their study. In this paper, we investigate three challenging aspects related to the efficient processing of drill-across SOLAP queries over GDWs: (i) the design of a GDW schema to enable the performance evaluation of drill-across SOLAP query processing; (ii) the definition of classes of drill-across SOLAP queries to be issued over the proposed GDW schema; and (iii) the analysis of different approaches to process drill-across SOLAP queries, as follows: star-join computation, materialized views and a new proposed approach based on the SB-index, which is named DrillAcrossSB. We conclude that the DrillAcrossSB approach highly speedups the processing of drill-across SOLAP queries from 39% up to 98%.