Industrial and scientific datasets have been growing enormously in size and complexity in recent years. The largest transactional databases and data warehouses can no longer be hosted cost-effectively in off-the-shelf commercial database management systems. There are other forums for discussing databases and data warehouses, but they typically deal with problems occurring at smaller scales and ...

Industrial deployment of the Internet Of Things (IOT) provides development of an ideal platform for decentralized management of warehouses. In this paper, we propose an IOT infrastructure for collaborative warehouse order fulfillment based on RFID, ambient intelligence and multi-agent system. It consists of a physical devices layer, a middleware ambient platform, a multi-agent system and an ent...

<p class="16"><em>Industrial evolution in the field of computer technology and multimedia is growing rapidly, especially sophistication augmented reality which has been used as an introduction medium by various companies. The method this study uses waterfall technique. This application built on a mobile device using Unity 3D software implemented form three-dimensional model for prod...

ETL (extraction, transformation, and loading) and data staging processes in Enterprise Data Warehouses have always been critical due to their consumption of time and resources. Mostly, the staging processes are accompanied with persistent storage of transformed data to enable a reasonable performance when accessing for analysis and other purposes. The persistence of – often redundant – data req...

Yet, persistence of redundant data in Data Warehouses is often simply justified with an achievement of better performance when accessing data for analysis and reporting. Especially in Enterprise Data Warehouse systems, data management via multiple persistence levels is necessary to condition the huge amount of data into an adequate format for its final usage. However, there are further reasons ...