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VLDB
2007
ACM

Deadline and QoS Aware Data Warehouse

14 years 11 months ago
Deadline and QoS Aware Data Warehouse
Data Warehouses and Business Intelligence (BI) applications are the top two priorities for CIO/CTOs (Celent report on December 14, 2005). A data warehouse IT infrastructure needs to support the requirement of (day time) ad hoc query response time and (night time) batch workload completion time. The following tasks need to be finished in a batch window: (1) Apply one day's delta data to the base tables; (2) refresh MQTs (Materialized Query Tables) for ad hoc queries and batch workloads; (3) run batch queries. Tools are available to optimize each step; however, many factors need to be considered for improving the overall performance of a data warehouse (i.e. meeting batch window deadline and ad hoc query response time). We have prototyped a Data Warehouse Operation Advisor to systematically study each component contributing to the batch window problem, and then perform global optimization to achieve desired results!
Wen-Syan Li, Dengfeng Gao, Rafae Bhatti, Inderpal
Added 05 Dec 2009
Updated 05 Dec 2009
Type Conference
Year 2007
Where VLDB
Authors Wen-Syan Li, Dengfeng Gao, Rafae Bhatti, Inderpal Narang, Hirofumi Matsuzawa, Masayuki Numao, Masahiro Ohkawa, Takeshi Fukuda
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