The huge increase of generated data in the network it is also bringing a big increase of the metadata used to track what is happening in the network. This kind of data can be fully characterized as a big data as it is fulfilling all 4Vs of Big data, Volume, Variety, Velocity, and Variability.
Once Big data is collected and stored it is necessary to process it, which for results has extraction of knowledge which can be used later to make actions in the network, like network optimization in the different levels of the network, enabling specific services to the users, like video caching techniques closer to the user, or to predict cells behavior in order to pre-initialize resources in the network.
The proposed framework for big data analytics in the mobile networks (Figure 1) consists of four following blocks :
For sure that Big data analytics will be one of the key elements in 5G and beyond networks which will enable network operators to better understand the behavior of whole network as well as of the partial components, to predict events and outcomes, or to monitor rapid fluctuations. The possibilities of Big data analytics are uncountable and challenges in this scope are numerous.
 Zheng, Kan, et al. “Big data-driven optimization for mobile networks toward 5G.” IEEE network 30.1 (2016): 44-51.