A performance analysis of alternative multi-attribute declustering strategies
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
OLAP answers tough business questions
Datamation
Why decision support fails and how to fix it
ACM SIGMOD Record
Replication: DB2, Oracle, or Sybase?
ACM SIGMOD Record
Data extraction and transformation for the data warehouse
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
OLAP and statistical databases: similarities and differences
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Materialized views: techniques, implementations, and applications
Materialized views: techniques, implementations, and applications
Optimizing Queries with Materialized Views
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Total
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Model 204 Architecture and Performance
Proceedings of the 2nd International Workshop on High Performance Transaction Systems
Summarizability in OLAP and Statistical Data Bases
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
STORM: a statistical object representation model
SSDBM'1990 Proceedings of the 5th international conference on Statistical and Scientific Database Management
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A flurry of buzzwords awaits anyone investigating database technology for decision support:data warehouse, multidimensional and dimensional database, on-line analytical processing, starschema, slicing, dicing, drill-down and roll-up. We introduce the area via an example based on along-ago project to design a repository on energy information for the US Department of Energy. Once wehave introduced some terminology, we explore research issues associated with decision-supportdatabases, including representation, modeling, metadata, architectures and query processing. Thepurpose of this paper is to provide researchers with the background they need to contribute to this area.