Data Warehouse Requirements Engineering : A Decision Based Approach
Mentés helye:
| Szerző: | |
|---|---|
| Testületi szerző: | |
| Közreműködő(k): | |
| Különgyűjtemény: | e-book |
| Formátum: | könyv |
| Nyelv: | angol |
| Megjelenés: |
Singapore : Springer Singapore,
2018
|
| Tárgyszavak: | |
| Online elérés: | http://doi.org/10.1007/978-981-10-7019-8 |
| Címkék: |
Új címke
A tételhez itt fűzhet saját címkét!
|
| id |
opac-EUL01-000977670 |
|---|---|
| collection |
e-book |
| institution |
L_042 EUL01 |
| spelling |
Prakash, Naveen EUL10001036296 Y Data Warehouse Requirements Engineering A Decision Based Approach by Naveen Prakash, Deepika Prakash Singapore Springer Singapore 2018 XVI, 173 p. 56 illusztrált, 22 illusztrált szinesben online forrás szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda 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. 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. Nyomtatott kiadás: ISBN 9789811070181 Nyomtatott kiadás: ISBN 9789811070204 Nyomtatott kiadás: ISBN 9789811349874 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book adattárház döntéstámogatás EUL10000274543 Y Software engineering. EUL10000225264 Y Database management. EUL10000183268 Y Information storage and retrieval systems. EUL10000403904 Y Information systems EUL10001086662 Y Information technology EUL10000376482 Y elektronikus könyv Prakash, Deepika szerk. EUL10001036304 Y SpringerLink (Online service) közreadó testület Online változat http://doi.org/10.1007/978-981-10-7019-8 Singapore Springer Singapore Imprint: Springer 2018 EUL01 |
| language |
English |
| format |
Book |
| author |
Prakash, Naveen |
| spellingShingle |
Prakash, Naveen Data Warehouse Requirements Engineering : A Decision Based Approach adattárház -- döntéstámogatás Software engineering. Database management. Information storage and retrieval systems. Information systems Information technology elektronikus könyv |
| author_facet |
Prakash, Naveen Prakash, Deepika, szerk. SpringerLink (Online service), közreadó testület |
| author2 |
Prakash, Deepika, szerk. |
| author_corporate |
SpringerLink (Online service), közreadó testület |
| author_sort |
Prakash, Naveen |
| title |
Data Warehouse Requirements Engineering : A Decision Based Approach |
| title_sub |
A Decision Based Approach |
| title_short |
Data Warehouse Requirements Engineering |
| title_full |
Data Warehouse Requirements Engineering A Decision Based Approach by Naveen Prakash, Deepika Prakash |
| title_fullStr |
Data Warehouse Requirements Engineering A Decision Based Approach by Naveen Prakash, Deepika Prakash |
| title_full_unstemmed |
Data Warehouse Requirements Engineering A Decision Based Approach by Naveen Prakash, Deepika Prakash |
| title_auth |
Data Warehouse Requirements Engineering A Decision Based Approach |
| title_sort |
data warehouse requirements engineering a decision based approach |
| publishDate |
2018 |
| publishDateSort |
2018 |
| physical |
XVI, 173 p. 56 illusztrált, 22 illusztrált szinesben : online forrás |
| isbn |
978-981-10-7019-8 |
| callnumber-first |
Q - Science |
| callnumber-subject |
QA - Mathematics |
| callnumber-label |
QA76 |
| callnumber-raw |
14616 |
| callnumber-search |
14616 |
| topic |
adattárház -- döntéstámogatás Software engineering. Database management. Information storage and retrieval systems. Information systems Information technology elektronikus könyv |
| topic_facet |
adattárház -- döntéstámogatás Software engineering. Database management. Information storage and retrieval systems. Information systems Information technology elektronikus könyv adattárház Software engineering. Database management. Information storage and retrieval systems. Information systems Information technology döntéstámogatás |
| url |
http://doi.org/10.1007/978-981-10-7019-8 |
| illustrated |
Illustrated |
| dewey-hundreds |
000 - Computer science, information & general works |
| dewey-tens |
000 - Computer science, knowledge & systems |
| dewey-ones |
005 - Computer programming, programs & data |
| dewey-full |
005.1 |
| dewey-sort |
15.1 |
| dewey-raw |
005.1 |
| dewey-search |
005.1 |
| first_indexed |
2023-12-27T21:56:59Z |
| last_indexed |
2023-12-30T21:17:07Z |
| recordtype |
opac |
| publisher |
Singapore : Springer Singapore |
| _version_ |
1786739350485073921 |
| score |
13,368425 |
| generalnotes |
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. |