Metaverse is a virtual space to explore, for those who are not physically available in context. We are in the early stages of the development of the metaverse and it promises a rapid phase shift as well as proliferation in every aspect of technology. The metaverse comprises of eight key technologies, such as Extended Reality, Customer (user) Interactivity, Artificial intelligence, Block Chain Technology, Computer Vision, Internet of Things, Robotics, Fog/ Edge/ Cloud Computing, additionally, 5G/ 6G (Future) Mobile networks that are relevant to the metaverse. Big data is a significant source that complements each of these techniques. In this paper, we will discuss how different big data techniques help with the growth of the metaverse. The comparison of 3rd Dimensional objects in terms of Spark architecture with HDFS is carried out. We utilized large-scale 3D data to implement and evaluate various machine learning and deep learning models, facilitating a thorough comparison of their performance. Both of the Models have their own advantages and drawbacks, Random Forest model stands out in terms of processing speed, though SimpleNet requires more time for the validation accuracy improvement.