Model-driven Platform for Oil and Gas Enterprise Data Integration

Model-driven Platform for Oil and Gas Enterprise Data Integration

The necessity of data interoperability is very important for the oil and gas enterprise environment. Different information systems and applications cover the range of the IT infrastructure and need to interoperate. Most of the industrial companies do not have common rational strategy for their automation. That leads to the lack of integration between purchased and implemented software that is n...

A Model Driven Approach to Enterprise Data Integration

Enterprises have a lot of data locked up in their operational data stores, warehouses, documents and so on, from which it should be possible to extract a lot of useful knowledge that can help them plan their businesses better and serve their customers better. However the success of this depends entirely on the quality of data available, and unfortunately in most organizations there is very litt...

Model Driven E-Learning Platform Integration

The success of the e-learning paradigm observed in recent times created a growing demand for e-learning systems in universities and other educational institutions, that itself led to the development of a number of either commercial or open source learning management systems (LMS). While the usage of these systems gains recognition and acceptance amongst institutions, there are new problems aris...

Business Model Driven Service Architecture Design for Enterprise Application Integration

Increasingly, organisations are using a Service-Oriented Architecture (SOA) as an approach to Enterprise Application Integration (EAI), which is required for the automation of business processes. This paper presents an architecture development process which guides the transition from business models to a service-based software architecture. The process is supported by business reference models ...

The SAS Enterprise Intelligence Platform: SAS Data Integration