Multi-dimensional Visualized Analysis Framework for Supporting Large Scale Data

To address the multi-dimensional visualization analysis problem of large scale data storages with high scalability represented by Hadoop,this paper designs and implements a visualization analysis framework,called Bizard.Bizard's data model encapsulates the underlying data access interface and provides XMLA protocol for the presenting layer,which makes it convenient to use conventional analytical tools.Meanwhile,Bizard uses materialized view technologies to improve query performance and the RIA technology to enrich the user analysis experience.Experimental results show that the framework can process multi-dimensional visualization analysis on large data sets with the number of rows up to tens of millions.