2002
DOI: 10.1007/3-540-46145-0_31
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Striving towards Near Real-Time Data Integration for Data Warehouses

Abstract: Abstract. The amount of information available to large-scale enterprises is growing rapidly. While operational systems are designed to meet well-specified (short) response time requirements, the focus of data warehouses is generally the strategic analysis of business data integrated from heterogeneous source systems. The decision making process in traditional data warehouse environments is often delayed because data cannot be propagated from the source system to the data warehouse in time. A real-time data war… Show more

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Cited by 63 publications
(32 citation statements)
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“…This brought the idea of (near) real-time data warehousing systems. Several approaches discussed the main requirements of such systems and proposed architectural changes to traditional DW systems for satisfying these new requirements (e.g., [8,97]). For instance, besides the main requirement of data freshness, [97] has also indicated minimal overhead of the source system and scalability in terms of input data sources, user queries, and data volumes, as relevant for these systems.…”
Section: Malleabilitymentioning
confidence: 99%
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“…This brought the idea of (near) real-time data warehousing systems. Several approaches discussed the main requirements of such systems and proposed architectural changes to traditional DW systems for satisfying these new requirements (e.g., [8,97]). For instance, besides the main requirement of data freshness, [97] has also indicated minimal overhead of the source system and scalability in terms of input data sources, user queries, and data volumes, as relevant for these systems.…”
Section: Malleabilitymentioning
confidence: 99%
“…They however pointed out the contradiction between users need for maximal data freshness and completeness, and the high overhead of the traditional DW workflows that often require costly data cleaning and transformations. To this end, the approaches in [8] and [97] discuss both conceptual and technological changes that would balance the delays in traditional ETL processes. In practice, SAP Business Warehouse [66] is an example of such system.…”
Section: Malleabilitymentioning
confidence: 99%
“…Practitioners have therefore called for some time for an integrated OLAP/OLTP approach with a real-time OLAP system that gets updated instantaneously as new data arrives and always provides an upto-date data warehouse for the decision support process (e.g. [9]). Some recent publications have begun to address this problem by providing "quasi real-time" incremental maintenance schemes and loading procedures for static data cubes (e.g.…”
Section: A Backgroundmentioning
confidence: 99%
“…Some recent publications have begun to address this problem by providing "quasi real-time" incremental maintenance schemes and loading procedures for static data cubes (e.g. [9], [10], [11], [12]). However, these approaches are not fully realtime.…”
Section: A Backgroundmentioning
confidence: 99%
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