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In the case of a hybrid model, the software product offers a combination of cloud-based SaaS functionality and on-premises capabilities. It allows organizations to deploy the software partly in the cloud, and partly on their local infrastructure or inside their Virtual Private Cloud depending on their specific requirements and preferences.
Data blending is a process whereby big data from multiple sources [1] are merged into a single data warehouse or data set. [2]Data blending allows business analysts to cope with the expansion of data that they need to make critical business decisions based on good quality business intelligence. [3]
Software as a service (SaaS / s æ s / [1]) is a cloud computing service model where the provider offers use of application software to a client and manages all needed physical and software resources. [2] Unlike other software delivery models, it separates "the possession and ownership of software from its use". [3]
For example, a user could combine the addresses and photographs of their library branches with a Google map to create a map mashup. [1] The term implies easy, fast integration, frequently using open application programming interfaces ( open API ) and data sources to produce enriched results that were not necessarily the original reason for ...
Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a cloud computing service model where users provision, instantiate, run and manage a modular bundle of a computing platform and applications, without the complexity of building and maintaining the infrastructure associated with developing and launching application(s), and to allow developers ...
In areas such as business intelligence, for example, data integration is used to describe the combining of data, whereas data fusion is integration followed by reduction or replacement. Data integration might be viewed as set combination wherein the larger set is retained, whereas fusion is a set reduction technique with improved confidence.
"A cloud deployment model represents the way in which cloud computing can be organized based on the control and sharing of physical or virtual resources." [3] Cloud deployment models define the fundamental patterns of interaction between cloud customers and cloud providers. They do not detail implementation specifics or the configuration of ...
A few examples where global delivery model exists are illustrated below. There are several organizations who have discovered there is value in performing tasks at geographic locations that provide most cost efficiencies. As a result, processing employee claims, accounting receivables/payables, etc. follow a global delivery model.