An information network is modelled as a graph with vertices denoting entities and links depicting connections within them. Heterogeneous Information Network (HIN) contains multiple types of vertices and multiple types of links. There is vast amount of hidden knowledge available in the HINs. Most of the techniques proposed in the literature are focused on homogeneous networks. The same methods are applied for heterogeneous networks by considering homogeneous projections. But this approach leads to information loss. In this paper, major mining tasks applicable for Heterogeneous Information Networks are reviewed.