On new roll-up possibilities for data stream warehouse

Authors:
N. Parimala;Bhawna Bhawna
Affiliations:
School of Computer an System Sciences, Jawaharlal Nehru University, New Delhi, India;School of Computer an System Sciences, Jawaharlal Nehru University, New Delhi, India
Venue:
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Year:
2007

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Abstract

Data stream is a continuous real time ordered sequence of data. Recently, efforts have been made to create a multidimensional cube for data streams so that analytic processing is possible. However, this analysis restricts itself to standard OLAP operations. No attempt has been made to address the inherent time ordering that exists with the data of data streams. In this paper we introduce new functionalities for roll-up so that the inherent ordering of data in data streams can be exploited to enhance decision making.