Data Warehouse Requirements Engineering A Decision Based Approach /

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 requ...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Prakash, Naveen (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Prakash, Deepika (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Prakash, Naveen.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Data Warehouse Requirements Engineering  |h [electronic resource] :  |b A Decision Based Approach /  |c by Naveen Prakash, Deepika Prakash. 
250 |a 1st ed. 2018. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2018. 
300 |a XVI, 173 p. 56 illus., 22 illus. in color.  |b online resource. 
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505 0 |a Chapter 1. Requirements Engineering for Transactional Systems -- Chapter 2. Requirements Engineering for Data Warehousing -- Chapter 3. Issues in Data Warehouse Requirements Engineering -- Chapter 4. Decision-Centric Information Elicitation -- Chapter 5. Decisional Application Layer -- Chapter 6. The Development Process -- Chapter 7. Experience -- Chapter 8. Conclusion. 
520 |a 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 and for defining rules for enforcing policies, respectively. In this context, the book presents a broad range of models, tools and techniques. For readers from academia, the book identifies the scientific/technological problems it addresses and provides cogent arguments for the proposed solutions; for readers from industry, it presents an approach for ensuring that the product meets its requirements while ensuring low lead times in delivery. 
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650 0 |a Database management. 
650 0 |a Application software. 
650 0 |a Information storage and retrieval. 
650 0 |a Information technology. 
650 0 |a Business-Data processing. 
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650 2 4 |a Information Storage and Retrieval.  |0 http://scigraph.springernature.com/things/product-market-codes/I18032 
650 2 4 |a Computer Appl. in Administrative Data Processing.  |0 http://scigraph.springernature.com/things/product-market-codes/I2301X 
650 2 4 |a IT in Business.  |0 http://scigraph.springernature.com/things/product-market-codes/522000 
700 1 |a Prakash, Deepika.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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