Hand-OLAP: Semantics-aware compression of data cubes for effective and efficient OLAP in mobile enviroments

In this paper, we present a complete demonstration of Hand-OLAP, a Java-based distributed system that relies on intelligent data cube compression techniques for effectively and efficiently supporting OLAP in mobile environments. Hand-OLAP is based on an innovative systematic technique according to which first a two-dimensional OLAP view of interest is extracted from the target multidimensional data cube via the so-called OLAP dimension flattening process, and then this view is compressed by means of a meaningful semantics-based data cube compression approach. The compressed two-dimensional view is finally delivered to mobile devices, and used to support interactive OLAP exploration and querying tasks in an off-line manner. © 2011 IEEE.