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What can Hierarchies do for Data Warehouses?

Summary: Introduces SQL(H), a first-class extension to SQL for data warehouses that supports hierarchical and heterogeneous dimension hierarchies. Uses a hierarchical-join algorithm and dimension indexes to express and compute dimension-fact queries efficiently, addressing verbose SQL under star/snowflake schemas. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8597
Venue
VLDB
Year
1999
Pagerank
6.5015013e-05
Overall Rank
4,043 | 71.88%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
3,716 Colorful XML: One Hierarchy Isn't Enough 2004 SIGMOD 6.8214504e-05
4,017 Optimal Histograms for Hierarchical Range Queries (Extended Abstract) 2000 PODS 6.524501e-05
5,276 The 3W Model and Algebra for Unified Data Mining 2000 VLDB 5.5905507e-05
5,694 OLAP Dimension Constraints 2002 PODS 5.3682155e-05
6,370 Efficient Implementation of Large-Scale Multi-Structural Databases 2005 VLDB 5.0935585e-05
6,736 CURE for Cubes: Cubing Using a ROLAP Engine 2006 VLDB 4.9459588e-05
12,387 Relaxation in Text Search using Taxonomies 2008 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

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