This paper focuses on Real-Time Data Warehousing systems, a relevant class of Data Warehouses where the main requirement consists in executing classical data warehousing operations (e.g., loading, aggregation, indexing, OLAP query answering, and so forth) under real-time constraints. This makes classical DW architectures not suitable to this goal, and puts the basis for a novel research area which has tight relationship with emerging Cloud architectures. Inspired by this motivation, in this paper we proposed a novel framework for supporting Real-Time Data Warehousing which makes use of a rewrite/merge approach. We also provide an extensive experimental campaign that confirms the benefits deriving from our framework.

Real-time data warehousing: A rewrite/merge approach

Cuzzocrea Alfredo;
2014

Abstract

This paper focuses on Real-Time Data Warehousing systems, a relevant class of Data Warehouses where the main requirement consists in executing classical data warehousing operations (e.g., loading, aggregation, indexing, OLAP query answering, and so forth) under real-time constraints. This makes classical DW architectures not suitable to this goal, and puts the basis for a novel research area which has tight relationship with emerging Cloud architectures. Inspired by this motivation, in this paper we proposed a novel framework for supporting Real-Time Data Warehousing which makes use of a rewrite/merge approach. We also provide an extensive experimental campaign that confirms the benefits deriving from our framework.
9783319101590
Theoretical Computer Science
Computer Science (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.11770/312842
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