Details

Autor(en) / Beteiligte

• Santos, Maribel Yasmina
• Oliveira e Sá, Jorge
• Andrade, Carina
• Gervasi, Osvaldo
• Wang, Shangguang
• Murgante, Beniamino
• Stankova, Elena
• Torre, Carmelo M
• Misra, Sanjay
• Apduhan, Bernady O
• Taniar, David
• Rocha, Ana Maria A. C
• Torre, Carmelo M.
• Rocha, Ana Maria A.C.
• Apduhan, Bernady O.

Titel

Towards a Common Data Framework for Analytical Environments

Ist Teil von

• Computational Science and Its Applications - ICCSA 2016, 2016, Vol.9790, p.271-287

Ort / Verlag

Switzerland: Springer International Publishing AG

Erscheinungsjahr

2016

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In business contexts, data from several sources are usually collected, integrated, stored and analyzed to support decision-making at the operational, tactical or strategic organizational levels. For these several levels, with different data needs, this paper proposes a Common Data Framework for identifying and modeling the different data repositories that support those data needs. The proposed approach considers all the business needs expressed in business processes models and that were useful in the identification of the operational data model, for on-line transaction processing, the analytical data model, for a data warehousing system, and on-line analytical processing cubes for a traditional Business Intelligence environment. Besides providing an integrated framework in which the data models complement each other, this approach also allows checking the conformity of the data stored in the different repositories, being possible to identify business requirements that were not properly modeled.