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A Novel Approach Using Non-Synonymous Materialized Queries for Data Warehousing

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  • Sonali Ashish Chakraborty

    (Gujarat University, India)

Abstract

Data from multiple sources are loaded into the organization data warehouse for analysis. Since some OLAP queries are quite frequently fired on the warehouse data, their execution time is reduced by storing the queries and results in a relational database, referred as materialized query database (MQDB). If the tables, fields, functions, and criteria of input query and stored query are the same but the query criteria specified in WHERE or HAVING clause do not match, then they are considered non-synonymous to each other. In the present research, the results of non-synonymous queries are generated by reusing the existing stored results after applying UNION or MINUS operations on them. This will reduce the execution time of non-synonymous queries. For superset criteria values of input query, UNION operation is applied, and for subset values, MINUS operation is applied. Incremental result processing of existing stored results, if required, is performed using Data Marts.

Suggested Citation

  • Sonali Ashish Chakraborty, 2021. "A Novel Approach Using Non-Synonymous Materialized Queries for Data Warehousing," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 17(3), pages 22-43, July.
    • Handle: RePEc:igg:jdwm00:v:17:y:2021:i:3:p:22-43
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