Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Modeling Multidimensional Databases, Cubes and Cube Operations
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
A Temporal Query Language for OLAP: Implementation and a Case Study
DBPL '01 Revised Papers from the 8th International Workshop on Database Programming Languages
A Parallel Scalable Infrastructure for OLAP and Data Mining
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
Generalized Projections: A Powerful Query-Optimization Technique
Generalized Projections: A Powerful Query-Optimization Technique
MDX Solutions: with Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
MDX Solutions: with Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
Data mining with the SAP NetWeaver BI accelerator
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Trio: a system for data, uncertainty, and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
On the need of a reference algebra for OLAP
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
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Modern applications for business planning and performance management offer a broad range of functions for planning, forecasting, and optimising business processes. Often, they must be integrated in a planning process involving different users and objectives. However, due to the heterogeneity of their implementations and BI platform requirements, this integration becomes a tedious task. In this paper, we propose an algebra as the foundation of a common implementation and execution platform for business planning applications. We outline the major topics involved in the development of this algebra and give pointers to interesting research questions we want to address in future.