Based On The Storage Structure Of The Property Divided Into Parallel Online Analytical Processing Operation Algorithm

Data Warehouse is a large repository of integrated and historicized information, which is available for complicated querying and analyzing. Data Warehouse supports on-line analysis processing (OLAP) for decision making. OLAP is one of the most important operations in Data Warehouse, and the efficiency of OLAP has important effect on the performance of Data Warehouse system. A new set of parallel algorithms for OLAP operations are proposed in this paper. The algorithms utilize sufficiently the character of the parallel attribute partition storage structure new proposed storage structure for Data Warehouse system. The algorithms have been used in a parallel data warehouse system. Theoretical analysis and experimental results show that algorithms are very efficient.