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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
ha952d3c41593a4b6
Venue
VLDB
Year
1998
Pagerank
5.9812429e-05
Overall Rank
5,825 | 60.84%
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
949 DynaMat: A Dynamic View Management System for Data Warehouses 1999 SIGMOD 0.00012902181
5,002 The Need for Distributed Asynchronous Transactions 1999 SIGMOD 6.319493e-05
13,140 Information Management challenges from the Aerospace Industry 2002 VLDB 4.9793485e-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
398 View Maintenance in a Warehousing Environment 1995 SIGMOD 0.00019152162
1,753 On-Line Warehouse View Maintenance 1997 SIGMOD 9.7248839e-05
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