Zusammenfassung
There was a time that data warehouse implementations were relatively isolated within the IT infrastructure of an organization. Data extract programs snuck out in the middle of the night or over a weekend to steal away with data from the operational systems and load it into the informational repository (data warehouse). A select group of knowledge workers (usually in marketing, finance, strategic planning, etc.) had access to this information for reporting and analysis, but the requirements for connectivity to large numbers of users outside the corporate ivory tower and interoperability with production systems were minimal With the expanded scope of successful data warehouses to encompass tactical decision making in addition to traditional decision support applications (cf. Brobst, Rarey 2001), the need for better integration into the mainstream of IT infrastructure has become essential. As a result, Enterprise Application Integration (EAI) has emerged as a critical component in the architecture of advanced data warehouse implementations. When properly deployed, EAI provides a vehicle for transitioning from back office decision making to tactical decision support on the front-lines to impact execution of the enterprise strategy. EAI plays a particularly important role when implementing the extreme data freshness service levels required for Active Data Warehousing
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Bibliography
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© 2002 Springer-Verlag Berlin Heidelberg
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Brobst, S.A. (2002). Enterprise Application Integration and Active Data Warehousing. In: von Maur, E., Winter, R. (eds) Vom Data Warehouse zum Corporate Knowledge Center. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57491-7_2
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DOI: https://doi.org/10.1007/978-3-642-57491-7_2
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-642-63276-1
Online ISBN: 978-3-642-57491-7
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