This course will begin by explaining the different reasons that make data integration hard: systems, logical and social reasons. The course will then cover the fundamentals of data integration, such as languages for resolving heterogeneity, automatic schema mapping techniques, query processing in heterogeneous systems and novel architectures for data integration. Finally, the commercial state of the art in this area and data spaces will be discussed.