Cloud computing and data analytics are the present-day superheroes that can run a business solely on their shoulders. Since the introduction of cloud services in 2006, it has evolved so much, and many big players in the tech industry, like Amazon, Microsoft, IBM, Oracle, and Adobe – almost all tech giants, big and small, are offering cloud services at various levels.
Data analytics, on the other hand, is the study of statistics and is as old as pyramids, literally! Ancient Egyptians used census statistics for the building of pyramids. Statistics played an important role for governments all over the world in the creation and classification of censuses, distribution of goods, and collection of taxes et al. Data analysis is the process of collecting data from various sources and studying it to extract useful information.
With the introduction of computers, the power of computation has increased tremendously, and it helped data analysis to look deep into the data to find various answers that can be benefitted from. While cloud computing is a modern technological marvel, data analysis existed long before. Before finding out the combined power of the two, let’s look at their strengths to understand them better.
Cloud computing had given all business enterprises the option of not buying a cow when they need a packet of milk. The analogy may seem funny, but that was the case with all the businesses before the cloud. Previously, business enterprises used to spend a bomb on IT infra, most of which was used just as a backup to face any eventualities or when the situation demands. When not in use, these IT resources used to occupy a lot of space and waste a lot of energy in terms of the power they consume and, eventually the money. Cloud services have eliminated all this wastage by simply offering every IT resource “as a service”. Now, businesses can buy a service and pay for what they use and need not own that IT infrastructure.