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Relational extensions for OLAP

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3 Author(s)
Colossi, N. ; IBM Software Group, Silicon Valley Laboratory, 555 Bailey Avenue, San Jose, California 95141, USA ; Malloy, W. ; Reinwald, B.

Enterprises have been storing multidimensional data, using a star or snowflake schema, in relational databases for many years. Over time, relational database vendors have added optimizations that enhance query performance on these schemas. During the 1990s many special-purpose databases were developed that could handle added calculational complexity and that generally performed better than relational engines. DB2® has added a number of features that make it more competitive with these special-purpose databases. In this paper, we define meta-data extensions that allow designers of multidimensional schemas to describe the structure of those schemas to multidimensional query and analysis tools. The SQL extensions include a “cube” object that returns row sets that are “slices” of the cube. We also describe Web services for OLAP that provide meta-data for multidimensional data, as well as XML (Extensible Markup Language) query results.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Systems Journal  (Volume:41 ,  Issue: 4 )