Abstract
A data warehouse mainly stores integrated information over data from many different remote data sources for query and analysis. The integrated information at the data warehouse is stored in the form of materialized views. Using these materialized views, user queries may be answered quickly and efficiently as the information may be directly available. These materialized views must be maintained in answer to actual relation updates in the different remote sources. One of the issues related to materialized views is that whether they should be recomputed or they should be adapted incrementally after every change in the base relations. View maintenance is the process of updating a materialized view in response to changes to the underlying data is called view maintenance. There are several algorithms developed by different authors to ease the problem of view maintenance for data warehouse systems. In this paper, we have provided a comprehensive study on research works of different authors related to DW view maintenance considering various parameters and presented the same in tabular way.
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