Towards an Architecture for Real-Time Data Storage

Nowadays, due to the growing role that analytical, predictive and decision making activities perform in organizations, organizational data are very important. In order to utilizing organizational data, it should be transmitted from the operational and transactional environment to a dimensional or normal database. However, not only differences in platforms and data types are some issues that should be overcome, but also variety of data types such as non-structural and text format files should be considered. In this way, exploiting updated data storages is necessary for quick and accurate services and raising customers' satisfaction. Although real time data storages are frequently used in today's commercial systems and it has been emphasized in many researches, lack of updated data is still considered as their major drawback. So, due to the essential need for presenting an effective architecture for data storages, this study represents the architecture for real-time data storage by which reload intermittent data to make strong attempts is guaranteed.