Paper Info
Title
Constructing an OLAP cube from distributed XML data
Abstract
On-Line Analytical Processing (OLAP) is a powerful method for analysing large data warehouse data. Typically, the data for an OLAP database is collected from a set of data repositories such as e.g. operational databases. This data set is often huge, and it may not be known in advance what data is required and when to perform the desired data analysis tasks. Sometimes it may happen that some parts of the data are only needed occasionally. Therefore, keeping the OLAP database constantly up-to-date is not only a highly demanding task but it also may be overkill in practice.This suggests that in some applications it would be more feasible to form the OLAP cubes only when they are actually needed. We present such a system. As the data sources may well be heterogeneous, we propose an XML language for data collection. Our system also has a facility, where the user may pose a query against a "universal" OLAP cube using the MDX language. The query is analysed to determine which data is required for the desired OLAP cube.
Year
DOI
Venue
2002
10.1145/583890.583894
DOLAP
Keywords
Field
DocType
data collection,xml language,olap cube,mdx language,data repository,data analysis task,xml data,large data warehouse data,data source,olap database,xml,data analysis,olap,power method
Data warehouse,Data collection,Data mining,Information retrieval,XML,Computer science,Xml data,OLAP cube,Online analytical processing,Database,Cube
Conference
ISBN
Citations 
PageRank 
1-58113-590-4
19
0.97
References 
Authors
5
4
Name
Order
Citations
PageRank
Tapio Niemi116318.90
Marko Niinimäki28311.43
Jyrki Nummenmaa3143131.75
Peter Thanisch4529128.32