MOLAP的数据存储设计与实现

引入MOLAP的存储机制,自定义子立方体和块的概念,提出并实现了MOLAP中子立方体存储时块的两种存储方法,即直接多维数组存储和压缩多维数组存储.     

Web Data Cube Construction in Multidimensional On-line Analytical Processing Environment

Introduction Using data warehousing and on-line analyticalprocessing (OLAP) technology, leaders of businessorganizations can gain insight into the global marketand make sound business decisions quickly to ensurethat the organization will excel in the ever…     

Web Data Aggregation in MOLAP： Approach,Language, and Implementation

This paper investigates the Web data aggregation issues in multidimensional on-line analytical processing (MOLAP) and presents a rule-driven aggregation approach. The core of the approach is defining aggregate rules. To define the rules for reading warehouse data and computing aggregates, a rule definition languagearray aggregation language (AAL) is developed. This language treats an array as a function from indexes to values and provides syntax and semantics based on monads. External functions can be called in aggregation rules to specify array reading, writing, and aggregating. Based on the features of AAL, array operations are unified as function operations, which can be easily expressed and automatically evaluated. To implement the aggregation approach, a processor for computing aggregates over the base cube and for materializing them in the data warehouse is built, and the component structure and working principle of the aggregation processor are introduced.