Titlebook: Enabling Real-Time Business Intelligence; Third International Malu Castellanos,Umeshwar Dayal,Renée J. Miller Conference proceedings 2010

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https://doi.org/10.1007/978-1-4471-4585-1n carried out between the optimum and reasonable default sizes for the disk-buffer. To avoid tuning, we propose a reasonable default value for the disk-buffer size with a small and acceptable performance loss. The experimental results validate our arguments.

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Practical Pathology Informaticsfferent views on different aggregation levels.Multi-dimensional queries exploiting hierarchically structured dimensions lead to complex star queries at a relational backend, which could hardly be handled by classical relational systems.

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Near Real-Time Data Warehousing Using State-of-the-Art ETL Tools,reshment can no longer be performed in off-peak hours only. In particular, the source data may be changed concurrently to data warehouse refreshment. In this paper we show that anomalies may arise under these circumstances leading to an inconsistent state of the data warehouse and we propose approaches to avoid refreshment anomalies.

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Comparing Global Optimization and Default Settings of Stream-Based Joins,n carried out between the optimum and reasonable default sizes for the disk-buffer. To avoid tuning, we propose a reasonable default value for the disk-buffer size with a small and acceptable performance loss. The experimental results validate our arguments.

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,Merging OLTP and OLAP – Back to the Future,fferent views on different aggregation levels.Multi-dimensional queries exploiting hierarchically structured dimensions lead to complex star queries at a relational backend, which could hardly be handled by classical relational systems.

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