Big Data is gaining lots of attentions from various research communities as massive data are becoming real issues and processing such data is now possible thanks to available high-computation capacity of today's equipment. This paper focuses especially on the network community where currently huge amount of data have to be processed in real time. In the meanwhile, it is also the beginning of Vehicular Ad-hoc Networking (VANET) era. Connected vehicles are being manufactured and will become an important part of vehicle market. Topology in this type of network is in constant evolution, accompanied by massive data coming from increasing volume of connected vehicles in the network. Therefore, we will handle this interesting topic by providing backgrounds on Big Data concerning vehicular networks. Key aspects of Big Data related to VANET (e.g., data generation, preprocessing, and communication) are discussed. Finally, we will also illustrate how to analyze data in VANET by presenting a real experimentation and some representatives results.