The current schema Matching techniques do not stand up to data and schema scaling up. We present existing matching approaches at large scale called holistic and Pair-wise. We discuss also several related topics of optimization techniques, machine learning algorithms, statistical algorithms. On the basis of the state of the art techniques we suggest the elaboration of a hybrid approach that combines these known techniques to deal with a large scale Matching.