The course develops a working knowledge of the principles, architectures, and tools for Business Intelligence. The first part of the course addresses core topics, such as enterprise data integration, visualization, and data mining. The second part gives an outlook on emerging data architectures, including social network structures and Big Data analytics. Course outline: - Data management architectures. - OLAP and OLTP. - Data warehouse architecture and design. - Data Mining: clustering, classification, association rules. - Visualization. - Networks: models and centrality measures. - A selection of topics among Big Data, NoSQL databases, ranking. The evaluation consists of: - a written midterm test; - a written final test; - several small project assignments; - a short oral discussion.