In current era of big data, a wide variety of high-volume data having different veracity can be easily collected or generated at a high velocity. Social network data, as well as audio and video in social media and social networking sites, are examples of big data. Embedded in these big data are valuable information and knowledge. Previously unknown and useful information and knowledge from these big data, some big data solutions are in demand. In this project, we explore the big data for detecting various results from YouTube video data so that the user- preferred YouTube viewing can be recognized and the analysis of user- preferred YouTube videos can then be enhanced.