Session
Accessing OLAP Resources from Java
James Farley, Chief Software Architect, Harvard University
Track: Leading Edge
Date: Wednesday, March 28
Time: 4:15pm
- 5:00pm
OnLine Alaytic Processing (OLAP) data sets are distinct from traditional relational databases, in that they are typically multi-dimensional data cubes, rather than two-dimensional data tables. Multi-dimensional OLAP data sources offer the potential for efficient data mining and support for much more complex queries than a traditional RDBMS. In this session, we'll examine various approaches to accessing OLAP systems from Java, including navigation approaches and representations for multi-dimensional datasets.