brother
发表于 2025-3-25 06:49:50
Conclusion,ach to data warehouse fragments. Thus, three disparate strands, namely, requirements engineering, consolidation, and agile development are integrated in our requirements engineering process. The role of a decision is central to this: it requires information support as a single version of the truth through consolidation in an agile manner.
Mucosa
发表于 2025-3-25 09:37:44
https://doi.org/10.1007/BFb0087822engineering process. The approaches to requirements elicitation are reviewed. This lays the basis for the next chapter so as to discuss the differences between transactional and data warehouse requirement engineering respectively.
大包裹
发表于 2025-3-25 14:15:41
Intravenous digital subtraction angiographyperational decisions is demonstrated. The manner in which information can be structured to yield an Entity-Relationship schema is considered thereafter. Finally the nature of the tool support is outlined.
Congeal
发表于 2025-3-25 17:28:51
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exhibit
发表于 2025-3-25 23:28:07
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UTTER
发表于 2025-3-26 03:03:40
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笼子
发表于 2025-3-26 04:49:04
The Development Process,ating data warehouse fragments is considered thereafter and an approach to consolidation is formulated. It is proposed that consolidation of requirements granules should be done and therefore, the consolidation process is a part of the requirements engineering process. The chapter ends with a description of the tool support that is provided.
instulate
发表于 2025-3-26 12:16:57
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Obvious
发表于 2025-3-26 14:50:45
Requirements Engineering for Data Warehousing, brief introduction to data warehousing concepts and the main problems of data warehouse projects. Thereafter, the systems development life cycle of data warehouse development, and the different ways in which development proceeds including the recently developed agile approaches are considered in th
MULTI
发表于 2025-3-26 20:42:03
Issues in Data Warehouse Requirements Engineering,policy formulation, making policy enforcement rules and for business operations. The problem of requirements engineering is to discover these decisions as well as the information, the requirements granules, relevant to these. A data warehouse fragment is built for each granule. The factors that fac