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Titlebook: Data Warehouse Requirements Engineering; A Decision Based App Naveen Prakash,Deepika Prakash Book 2018 Springer Nature Singapore Pte Ltd. 2

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發(fā)表于 2025-3-21 19:42:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Warehouse Requirements Engineering
副標(biāo)題A Decision Based App
編輯Naveen Prakash,Deepika Prakash
視頻videohttp://file.papertrans.cn/264/263191/263191.mp4
概述Is the first book to focus on the issue of data warehouse requirements engineering and provides a method that covers all aspects, from requirements.Clearly identifies the differences and similarities
圖書封面Titlebook: Data Warehouse Requirements Engineering; A Decision Based App Naveen Prakash,Deepika Prakash Book 2018 Springer Nature Singapore Pte Ltd. 2
描述.As the first to focus on the issue of Data Warehouse Requirements Engineering, this book introduces a model-driven requirements process used to identify requirements granules and incrementally develop data warehouse fragments. In addition, it presents an approach to the pair-wise integration of requirements granules for consolidating multiple data warehouse fragments. The process is systematic and does away with the fuzziness associated with existing techniques. Thus, consolidation is treated as a requirements engineering issue..The notion of a decision occupies a central position in the decision-based approach. On one hand, information relevant to a decision must be elicited from stakeholders; modeled; and transformed into multi-dimensional form. On the other, decisions themselves are to be obtained from decision applications. For the former, the authors introduce a suite of information elicitation techniques specific to data warehousing. This information is subsequently converted into multi-dimensional form. For the latter, not only are decisions obtained from decision applications for managing operational businesses, but also from applications for formulating business policies
出版日期Book 2018
關(guān)鍵詞Decision; Systems Development Life Cycle; Data Warehousing; Information Elicitation and Modeling; Data M
版次1
doihttps://doi.org/10.1007/978-981-10-7019-8
isbn_softcover978-981-13-4987-4
isbn_ebook978-981-10-7019-8
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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發(fā)表于 2025-3-21 21:53:54 | 只看該作者
Computations with Modular Forms 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
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Computations with Modular Formspolicy 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
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Methods for Spectral CT Imagingering process not only addresses the issue of obtaining requirements, but, additionally, subsumes consolidation to make for an agile development approach to data warehouse fragments. Thus, three disparate strands, namely, requirements engineering, consolidation, and agile development are integrated
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https://doi.org/10.1007/978-981-10-7019-8Decision; Systems Development Life Cycle; Data Warehousing; Information Elicitation and Modeling; Data M
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