An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Object-oriented data warehouse design: building a star schema
Object-oriented data warehouse design: building a star schema
On relationships offering new drill-across possibilities
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Visualizing multi-dimensional data
ACM SIGGRAPH Computer Graphics
Polaris: A System for Query, Analysis, and Visualization of Multidimensional Relational Databases
IEEE Transactions on Visualization and Computer Graphics
Tools for Data Warehouse Quality
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Multiple Foci Drill-Down through Tuple and Attribute Aggregation Polyarchies in Tabular Data
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Implementing operations to navigate semantic star schemas
DOLAP '03 Proceedings of the 6th ACM international workshop on Data warehousing and OLAP
From analysis to interactive exploration: building visual hierarchies from OLAP cubes
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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Data analysts would benefit greatly from the ability to navigate and view combined multidimensional data from multiple sources, a key requirement of which is the conformity between their dimensions. The strict requirements of conformity restrict navigating to related multidimensional data from unseen or unfamiliar sources. In this paper we make a distinction between conformed dimension tables and conformed dimension attributes and discuss the merits of relaxing the conformity requirement. We propose extending the navigation operation drill across to include the non-conformed dimensions and introduce Nested Pivot Tables as an extension to Pivot Tables to show how sources that have conformed as well as non-conformed dimensions can be viewed and analyzed together.