There has been a lot of work to optimize the performance of relational data warehouses. Three major techniques can be used for this objective: enhanced index schemes (join indexes, bitmap indexes), materialized views, and data partitioning. The existing research prototypes or products use materialized views alone or indexes alone or combination of them, but none of the prototypes use all three techniques together for optimizing the performance of the relational data warehouses. In this paper we show by a systematic experiment evaluation that the combination of these three techniques reduces the query processing cost and the maintenance overhead significantly. We conduct several experiments and analyse the situations where the data partitioning gives better performance than the materialized views and indexes. Based on rigorous experiments, we recommend the tuning parameters for better utilization of data partitioning, join indexes and materialized views to optimize the total cost.
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