Analyzing social networks data becomes increasingly important for many companies day-to-day operations. However, due to their scale, complexity and dynamics, these networks are difficult to be processed by means of traditional warehouse systems. In fact, the rapid growth of data with the frequent arrival of new needs requires that the system should be adaptable to changes. This work presents DW4SN (Data Warehouse for Social Network) tool for building data warehouse from social network, where

more »

... stering methods are used to define the DW schema and NoSQL systems are used to implement the warehouse. We validate our system on a real data set concerning crafts women social network. The main benefits were obtained in terms of scalability and dynamicity.