Cloud-Based Data Warehousing Application Framework for Modeling Global and Regional Data Management Systems

Semantic Cubing Platform enabling Interoperability Analysis among Cloud-based Linked Data Cubes

“…According to [17,18], each federated data warehousing system contains a data warehouse and a class of data marts as illustrated in figure 1. First, the global data warehouse with its multi dimensional schema, i.e.…”

“…This paper focuses on integrating FDWA framework [18] and Collective Cubing platform [8] to consider the potential approach of the developments of cubing services in business intelligence environment. The work to be developed in this research is aimed to achieve an efficient approach for storing, indexing and querying multidimensional data cubes.…”

“…In this context, the federated data warehousing application framework [17,18] is applied to specify a global data warehouse, which data are integrated from multiple data sources and a class of virtual and manifest data marts. Hereafter, the platform is used to generate data cubes of just-defined data marts.…”

“…First, linked data marts and their data cubes have been specified by using the FDWA framework [18] and the Collective Cubing platform [8]. Hereafter, Metacube Services have been proposed to as a middle-layer to enable interoperability search among those linked data cubes.…”

“…Unfortunately, this new model has fallen short of its promise, for several reasons according to [5]. To solve this challenge, the cloud-based Federated Fata warehousing Application (FDWA) framework, including global data warehouse and its virtual linked data marts in the clouds, has been introduced in [12,18].…”