There are many different reasons that companies elect to pursue a hosted enterprise cloud solution, from a desire for more scalable infrastructure to better optimization for remote working. It makes sense that organizations would approach the integration of cloud solutions through the lens of their highest priorities. Big data is a massive but valuable entity which more businesses are learning to navigate, and it's no accident that the trajectories of big data and enterprise-class cloud computing have many similar parallels. Each one can facilitate the use of the other within an organization. Evaluating enterprise clouds from the perspective of big data can offer clarity into why the cloud is good for big data.
The cloud has replaced in-house data security systems and software maintained by an on-premises IT staff, according to Forbes contributor David Strom. He noted that cloud security can offer a defensive system that grows along with data quantity and evolves to consistently provide the best level of protection. He advised a step-by-step process of data immersion into cloud servers, focusing first on storing email and internet servers into the cloud, followed by more complex applications.
Big data protection
Once more critical data has been migrated into the cloud, better access controls can and should be put into place, according to Network World. Enterprise cloud security can be structured to prevent fallout from privileged user access. In legacy, on-premises systems, for example, key financial data could be accessed by the CFO and relevant personnel, but also by the system administrator, who had to oversee the whole operation. Cybercriminals are aware of this loophole, and can target the system administrator to gain access to everything. Cloud service providers add another wrinkle, because there will be a cloud systems administrator as well, but data can be encrypted and effectively shut off from privileged users who don't need access to that information, preventing leaks and promoting accountability.
Big data storage
Storing information in the cloud relieves organizations of the inevitable reality that big data would create for enterprise servers – more data would continually require system upgrades and increased storage, which in turn could lead to problems with facilities, resources and skyrocketing costs. This could manifest in problems every time a business needs to upgrade or keep them from expanding altogether, if the associated costs are too high. The financial services industry is one sector that benefits from this twofold advantage, according to the Credit Union Times contributor Dave Anderson.
"Reap the powerful cost savings, by only paying for what you use, so there's the capital, and operating, expenditure benefits," Anderson wrote. "The second element is that most cloud computing platforms provide the means to capture, monitor and control usage information for, for example, accurate billing."
Accessibility and organization are two key components to successful big data use – innovative data analytics strategies draw from big data updated accurately and in real time, and need to rely on an infrastructure that can enable this sort of strategy to reach its full potential. IaaS clouds relieve IT departments of traditional concerns and enables them to concentrate more on improving the efficacy of big data analysis solutions.