Cloud computing changed data analytics for good. It enabled companies to drastically decrease resources and architecture previously assigned with business intelligence departments. It also enabled laymen to run advanced business analytics. Cloud was also the architecture of choice for storing and processing big data.
Data piling is a continuous process, which is going to explode with emerging Internet of Things concept. Answer to this issue developers found in new concept called fog computing. As opposed to clouds, fog computing architecture is capable of conducting all required computations and analytics directly at the data source. This way, single network administrator is able to control the work of thousands (or even millions) of different data generating devices, by real time and predictive analytics, without overloading the network with huge piles of data going back and forth