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)

Paper ID: h1ec5070497b12841
Venue: SIGMOD
Year: 2005
Pagerank: 4.9793485e-05
Overall Rank: 13,021 | 12.46%
DOI: 10.1145/1066157.1066258

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

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}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
1,189	Answering XML Queries over Heterogeneous Data Sources	2001	VLDB	0.00011592351
1,686	Garlic: A New Flavor of Federated Query Processing for DB2	2002	SIGMOD	9.8709217e-05

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