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 goi... (more)
Although corporate giants realized the danger of cyber attacks and cyber
crime in general, especially after attacks on Sony and Zappos, as well as the
very sensitive data breach that struck Ashley Madison website, small
businesses still don't do much for making their networks more secure.
Statistics say that more than half of all small businesses in the US don't
provide security training for their employees, only one quarter conduct
outside party security tests, and more than 40% don't produce backup copies
of their most important business files, in case something goes wrong.