Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

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Title

Analyzing Sequential Data in Standard OLAP Architectures

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2014

Chapter type

paper

Publication language

english

Abstract

EN Although nearly all data warehouses store sequential data, i.e. data with a logical or temporal ordering, traditional data warehouse or OLAP approaches fail when it comes to analyze those sequences. In this paper we will present a novel approach which generates query-specific subcubes, i.e. subcubes that consist only of data which fulfill a given sequential query pattern. These subcubes may then be analyzed using standard OLAP tools. Our approach consists of two functions which both return such subcubes. Hence, the user can still use all the well-known OLAP operations like drill-down, roll-up, slice, etc. to analyze the cube. Furthermore, this approach may be applied to all data warehousing architectures.

Pages (from - to)

56 - 69

DOI

10.1007/978-3-319-10933-6_5

URL

https://link.springer.com/chapter/10.1007/978-3-319-10933-6_5

Book

Advances in Databases and Information Systems : 18th East European Conference, ADBIS 2014, Ohrid, Macedonia, September 7-10, 2014 : proceedings

Presented on

18th East European Conference on Advances in Databases and Information Systems and Associated Satellite Events, ADBIS 2014, 7-10.09.2014, Ohrid, Macedonia

Publication indexed in

WoS (15)

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