A Metadata Architecture over cloud for enabling knowledge support for SMEs

Abstract

Recent surges in the global economy led to organizations adopting decision support systems as an integral part of their daily operations. These decision support systems were initially based on operational data store, but as the time and requirements progressed, a need was felt to embed knowledge into the data warehouses that resulted in the birth of Knowledge Warehouses. The resultant was a bonded application that facilitated decision makers to not only process on knowledge but also share it on organizational level. However, the resultant bonded sharing evolved an architecture that although was good but as it required large organizational knowledge base and extensive infrastructure hence was suitable for large organizations. As a result, SMEs were left behind as they could not afford expensive hardware and neither did they have large organizational base to develop large organizational knowledge base. What they required was a low-cost infrastructure that would enable them to have knowledge support and have the ability to gather knowledge base from their competitors. Until recently, no suitable architecture was present to provide such a facility to SME, but the advent of hybrid main memory database has now made it possible. The aim of this study is to provide an architectural add-on to the already available hybrid main memory database (HYRISE) that will solely be used to store knowledge and will have the ability to communicate with SMEs sister concerns over cloud. T study focuses on building a new meta-data architecture that will work in-conjunction with the original meta-data architecture of HYRISE to store knowledge information and have the ability to communicate securely over cloud.