. Within the framework of the data warehouse design<E-345> methodology we are developing, in this paper we investigate the problem<E-338> of vertical fragmentation of relational views aimed at minimizing the<E-358> global query response time. Each view includes several measures which,<E-344> within the workload, are seldom requested together; thus, the system<E-343> performance may be increased by partitioning the views to be materialized<E-324> into smaller tables. On the other hand, drill-across queries involve measures<E-336> taken from two or more views; in this case the access costs may be decreased<E-335> by unifying these views into larger tables. Within the data warehouse<E-331> ...
Abstract. Vertical partitioning is a well known technique to improve query response time in relation...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. Mat...
Designing a Parallel Relational Data Warehouse (PRDW) consists of a set of tasks: (i) choosing the h...
Abstract. In the context of multidimensional databases implemented on relational DBMSs through star ...
A multidimensional database can be seen as a collection of multidimensional cubes centered on facts ...
Data warehouse views typically store large aggregate tables based on a subset of dimension attribute...
Abstract. Queries to data warehouses often involve hundreds of complex aggregations over large volum...
Abstract. There has been a lot of work to optimize the performance of rela-tional data warehouses. T...
Data warehousing gives frameworks and means for enterprise administrators to methodically prepare, c...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. The...
Efficient query processing is a critical requirement for data warehousing systems as decision suppor...
A data warehouse is a central data repository that supports efficient execution of complex business ...
Selecting views to materialize impacts on the efficiency as well as the total cost of establishing a...
Processing costs in distributed processing environments is most often dominated by the network comm...
XML data warehouses form an interesting basis for decision-support applications that exploit heterog...
Abstract. Vertical partitioning is a well known technique to improve query response time in relation...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. Mat...
Designing a Parallel Relational Data Warehouse (PRDW) consists of a set of tasks: (i) choosing the h...
Abstract. In the context of multidimensional databases implemented on relational DBMSs through star ...
A multidimensional database can be seen as a collection of multidimensional cubes centered on facts ...
Data warehouse views typically store large aggregate tables based on a subset of dimension attribute...
Abstract. Queries to data warehouses often involve hundreds of complex aggregations over large volum...
Abstract. There has been a lot of work to optimize the performance of rela-tional data warehouses. T...
Data warehousing gives frameworks and means for enterprise administrators to methodically prepare, c...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. The...
Efficient query processing is a critical requirement for data warehousing systems as decision suppor...
A data warehouse is a central data repository that supports efficient execution of complex business ...
Selecting views to materialize impacts on the efficiency as well as the total cost of establishing a...
Processing costs in distributed processing environments is most often dominated by the network comm...
XML data warehouses form an interesting basis for decision-support applications that exploit heterog...
Abstract. Vertical partitioning is a well known technique to improve query response time in relation...
A data warehouse uses multiple materialized views to efficiently process a given set of queries. Mat...
Designing a Parallel Relational Data Warehouse (PRDW) consists of a set of tasks: (i) choosing the h...