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Issues in Developing Very Large Data Warehouses

Summary: Very large data warehouses hinge on four key issues: failure recovery, incremental updates, cost models for schema design and query optimization, and metadata management. It argues these gaps are under-addressed and outlines Boeing-led research directions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8717
Venue
VLDB
Year
1998
Pagerank
6.1147109e-05
Overall Rank
5,703 | 60.88%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{do_vldb98,
        title = {{Issues in Developing Very Large Data Warehouses}},
        author = {Do, Lyman and Drew, Pamela and Jin, Wei and Jumani, Vish and Van Rossum, David},
        journal = {PVLDB},
        series = {{VLDB} '98},
        pages = {633},
        year = {1998}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
943 DynaMat: A Dynamic View Management System for Data Warehouses 1999 SIGMOD 0.00013068595
4,884 The Need for Distributed Asynchronous Transactions 1999 SIGMOD 6.4633372e-05
12,850 Information Management challenges from the Aerospace Industry 2002 VLDB 5.093636e-05
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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
391 View Maintenance in a Warehousing Environment 1995 SIGMOD 0.00019370653
1,715 On-Line Warehouse View Maintenance 1997 SIGMOD 9.9392931e-05
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