OBJECT-RELATIONAL MAPPING OF MULTIDIMENSIONAL DATA

Autor/autori: Rocsana TONIS, Radu BUCEA-MANEA

Rezumat: In acest articol se prezinta principalele reguli de modelare si transformare a depozitelor de date in colectii ierarhizate de obiecte. pe baza acestora am dezvoltat un serviciu care permite preluarea datelor, din orice tip de sursa si alocarea dinamica in structuri de date pe durata interogarii lor. Accesarea surselor de date prin intermediul serviciilor este sigura, eficienta si nu implica resurse hardware/software costisitoare, conform paradigmei Cloud Computing.

Cuvinte cheie: depozit de date, imm, object - relational mapping, mediu virtual de afaceri, indicatori de performanta economico-financiari, cloud computing

Abstract: This paper presents the basic modeling and transformation rules for data warehouses in ranked object collections. Starting with these collections we’ve developed a service that allows dynamic allocation of objects during the querying. Furthermore, a basic API was created to interface the crud methods. accessing data sources through services is safe, effective and does not involve expansive hardware/software resources, accordingly to Cloud Computing paradigm

Keywords: data warehouse, SMEs, Object-Relational Mapping, network business environment, performance economicalfinancial indicators, Cloud computing, CRUD

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