Matteo Golfarelli is Associate Professor of Information Technology at the Science and Engineering Department of the University of Bologna and teaches information systems, databases and data mining. He has published over 100 papers for international journals and conferences on topics such as pattern recognition, robotics, multi-agent systems and business intelligence - his primary research sector. His current research involves distributed and semantic data warehouses as well as business intelligence on open, social and big data. He has been involved in multiple research projects, in Italy and abroad, within these areas of research. He is actively engaged in technological transfer in the business intelligence sector, liaising with public and private italian companies and has been scientific supervisor for multiple business conventions. He is member of the scientific committee for CesenaLab, a start up incubator for the digital sector.
The digital revolution has led to an explosion in the amount of available data and information (Big Data), the ability to analyze and correlate this information is becoming a fundamental element to an enterprise’s competitiveness and a new source of economic value and innovation. Big Data, however, is unable to be managed properly by using traditional instruments of Information Technologies because of their size, their heterogeneity and their many peculiarities. For this reason, new architectures, methodologies and tools are being created for data scientists to transform this data into value for the company and to support the decision-making process. This course will analyze the various types of data available, technical access to information, methods to handle them and the architectures and tools to store and process them.
Nowadays, knowing the opinion of the media about your enterprise or a certain topic represents an important competitive edge.
The module introduces techniques, methodologies and software used in these kinds of projects. The main topics covered are: