The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
Garlic: a new flavor of federated query processing for DB2
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Answering XML Queries on Heterogeneous Data Sources
Proceedings of the 27th International Conference on Very Large Data Bases
Quilt: An XML Query Language for Heterogeneous Data Sources
Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
Improving the performance and functionality of Mondrian open-source OLAP systems
Software—Practice & Experience
Web-oriented business intelligence solution based on Associative Query Logic
Software—Practice & Experience
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Large organizations have a multitude of data sources across the enterprise and want to obtain business value from all of them. While the majority of these data sources may be consolidated in an enterprise data warehouse, many business units have their own data marts where analysis is carried out against data stored in multidimensional data structures. It is often critical to pose queries which span both these sources. This is a challenge since these sources have differing models and query languages (SQL vs MDX). The Siebel Analytics Server enables this requirement to be fulfilled. In this paper, we describe how the multidimensional metadata is modeled relationally within Siebel Analytics, efficient SQL to MDX translation algorithms and the conversion protocols required to convert a multidimensional result into a relational rowset.