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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
2975
Venue
SIGMOD
Year
1997
Pagerank
8.5071315e-05
Overall Rank
2,579 | 82.06%
DOI
-

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