Modeling and Querying Multidimensional Data Sources in Siebel Analytics: A Federated Relational System
Summary: Relational modeling of multidimensional metadata inside the Siebel Analytics Server for federated SQL/MDX querying. MDX-to-SQL translation and MDX result conversion to relational rowsets enable unified queries across warehouses and marts with hierarchies and aggregation rules. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Kazi A. Zaman (Siebel Systems)
- 2. Donovan A. Schneider (Siebel Systems)
BibTeX Citation
@inproceedings{zaman_sigmod05,
title = {{Modeling and Querying Multidimensional Data Sources in Siebel Analytics: A Federated Relational System}},
author = {Zaman, Kazi A. and Schneider, Donovan A.},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066258},
url = {https://dl.acm.org/doi/10.1145/1066157.1066258},
year = {2005}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,168 | Answering XML Queries over Heterogeneous Data Sources | 2001 | VLDB | 0.00011843331 |
| 1,675 | Garlic: A New Flavor of Federated Query Processing for DB2 | 2002 | SIGMOD | 0.00010035333 |
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