Recently, BitTorrent has emerged as a very popular and scalable peer-to-peer file distribution mechanism. It has been successful at distributing large file quickly and efficiently. With an increasing number of users of BitTorrent, there should be much information about the user data flowing through the network. The rich information may imply the users’ habitual behaviors, data access patterns, interested files, and so on. The information is useful for general users, network managers, and designers, etc. Hence, we propose a framework on BitTorrent which combines data warehouse and data mining techniques to offer an efficient and systematic analysis for users.