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Hasso Plattner
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Hasso Plattner: Hasso Plattner Institute

Chapter Chapter 36 in A Course in In-Memory Data Management, 2014, pp 253-258 from Springer

Abstract: Abstract As illustrated throughout the course, in-memory data management can enable significant advantages to data processing within enterprises. However, the transition for enterprise applications to an in-memory database will require radical changes to data organization and processing, resulting in major adaptations throughout the entire stack of enterprise applications. By considering conservative upgrade policies used by many ERP system customers, the adoption of in-memory technology is often delayed, because such radical changes do not align well with the evolutionary modification schemes of business-critical customer systems. Consequently, a risk-free approach is required to help enterprises to immediately leverage in-memory data management technology without disruption of their existing enterprise systems.

Keywords: Customer Relationship Management; Business Intelligence; Complex Cube; Enterprise Application; Transactional Data (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-55270-0_36

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DOI: 10.1007/978-3-642-55270-0_36

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