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Data Warehousing and OLAP for Decision Support

Summary: Contrasts decision-support workloads with OLTP, arguing that data warehouses store historical, consolidated data from multiple sources in large, static repositories. Emphasizes multidimensional modeling, ETL integration, and heavy ad hoc analytics over millions of records, where query throughput and response time trump transaction throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3037
Venue
SIGMOD
Year
1997
Pagerank
7.7762802e-05
Overall Rank
3,079 | 78.88%
DOI
10.1145/253260.253373

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chaudhuri_sigmod97,
        title = {{Data Warehousing and OLAP for Decision Support}},
        author = {Chaudhuri, Surajit and Dayal, Umeshwar},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253373},
        url = {https://dl.acm.org/doi/10.1145/253260.253373},
        year = {1997}
}

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