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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
8526
Venue
VLDB
Year
1998
Pagerank
5.7518707e-05
Overall Rank
5,027 | 65.03%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
981 DynaMat: A Dynamic View Management System for Data Warehouses 1999 SIGMOD 0.00014879532
4,256 The Need for Distributed Asynchronous Transactions 1999 SIGMOD 6.3170934e-05
12,657 Information Management challenges from the Aerospace Industry 2002 VLDB 4.1945683e-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
401 View Maintenance in a Warehousing Environment 1995 SIGMOD 0.00024214488
1,744 On-Line Warehouse View Maintenance 1997 SIGMOD 0.00010702657
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