Experimental evidence on partitioning in parallel data warehouses

  title={Experimental evidence on partitioning in parallel data warehouses},
  author={Pedro Nuno San-Bento Furtado},
Parallelism can be used for major performance improvement in large Data warehouses (DW) with performance and scalability challenges. A simple low-cost shared-nothing architecture with horizontally fully-partitioned facts can be used to speedup response time of the data warehouse significantly. However, extra overheads related to processing large replicated relations and repartitioning requirements between nodes can significantly degrade speedup performance for many query patterns if special… CONTINUE READING
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