Improvements in database performance will continue to have an impact on data warehousing, according to new research from Current Analysis. Bit-mapped indices have made it far easier to select records containing keys with a relatively low number of unique values (e.g., state code, year-of-birth, etc.). Partitioning is also allowing database optimizers to limit searches to those partitions that match the search criteria (e.g., partitioning sales data by year would search only the partition specific to that year).
"Improved table join algorithms have reduced the time for complex multi-table retrievals,” says Mike Schiff, vice president of data warehousing for Current Analysis. “This not only improved the efficiency of data warehouses that are stable in size, but also helped to maintain existing response time performance for data warehouses that were growing.
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