Abstract
Enabled by the continued advances in storage technologies, the amounts of on-line data grow at a rapidly increasing Pace. For example, this development is witnessed in the so-called data webhouses that accumulate data derived from clickstreams. The presence of very large and continuously growing amounts of data introduces new challenges, one of them being the need for effectively managing aging data that is perhaps inaccurate, partly outdated, and of reduced interest. This Paper describes a new mechanism, persistent views, that aids in flexibly reducing the volume of data, e.g., by enabling the replacement of such “low-interest ,” detailed data with aggregated data; and it outlines a strategy for implementing persistent views.
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Skyt, J., Jensen, C.S. (2000). Managing Aging Data Using Persistent Views. In: Scheuermann, P., Etzion, O. (eds) Cooperative Information Systems. CoopIS 2000. Lecture Notes in Computer Science, vol 1901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10722620_13
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DOI: https://doi.org/10.1007/10722620_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41021-8
Online ISBN: 978-3-540-45266-9
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