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  1. Proceedings of the 4th ACM international workshop on Data warehousing and OLAP (DOLAP '01)
  2. Efficiently synchronizing multidimensional schema data
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Efficient intensional redefinition of aggregation hierarchies in multidimensional databases
Constructing OLAP cubes based on queries
Computing appropriate representations for multidimensional data
Modelling stars using XML
Understanding facts in a multidimensional object-oriented model
Data warehouse design from XML sources
Heuristic optimization of OLAP queries in multidimensionally hierarchically clustered databases
B+ retake: sustaining high volume inserts into large data pages
XPS a database server for data warehousing
Efficiently synchronizing multidimensional schema data
Hierarchical materialisation of methods in object-oriented views: design, maintenance, and experimental evaluation
$M^{4}:$ a metamodel for data preprocessing

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Efficiently synchronizing multidimensional schema data

Content Provider ACM Digital Library
Author Bauer, A. Lehner, W. Ediberidze, G. Gutzmann, M. Schlesinger, L.
Abstract Most existing concepts in data warehousing provide a central data¿base system storing gathered raw data and redundantly computed materialized views. While in current system architectures client tools are sending queries to a central data warehouse system and are only used to graphically present the result, the steady rise in power of personal computers and the expansion of network bandwidth makes it possible to store replicated parts of the data warehouse at the client thus saving network bandwidth and utilizing local com¿puting power. Within such a scenario a - potentially mobile - client does not need to be connected to a central server while performing local analyses. Although this scenario seems attractive, several pro¿blems arise by introducing such an architecture: For example schema data could be changed or new fact data could be available. This paper is focusing on the first problem and presents ideas on how changed schema data can be detected and efficiently synchro¿nized between client and server exploiting the special needs and requirements of data warehousing.
Starting Page 69
Ending Page 76
Page Count 8
File Format PDF
ISBN 1581134371
DOI 10.1145/512236.512246
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2001-11-09
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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