The inevitable Big Data may only emerge if it meets the qualitative criteria of Cloud. A requirement level has trouble reaching for some Cloud players. This opens the way for the consolidation of this market. In recent years, the issue of Cloud occupies the headlines, leaving a little space for other IT trends. But recently, the Big Data has supplanted the cloud in discussions and mobilizes more professional attention.
This is a positive effect that the capabilities and potential of Big Data are now better known: it could never exist without the Cloud, and because of him, the Cloud will never be the same. We, as service providers and users of Cloud technologies, must ask ourselves about the changes coming to the industry. Are we prepared to handle the flood of Big Data? Is that all Cloud providers will assume the new demands generated?
If Big Data appears complicated at first glance, a large percentage of the population is exposed to use every day without realizing necessarily account. For example, thanks to Big Data, the major search engines suggest words in their search bar even before the user has finished typing a word. How is this possible? This is actually a complex operation, but to put in simply, saying that search engines store large amounts of search terms, they sort and classify users to be able to suggest the most popular and relevant words.
The disruptive nature of Big Data in the Cloud
In the context of the Cloud, complex and disruptive nature of Big Data makes sense. The disruptive nature is linked to various factors that come into play to successfully exploit these huge volumes of data, but also for the additional stresses to which the cloud service providers face.
1) All data must be stored in the same place: In fact, we need to analyze and process data in the same place, otherwise the data movement between different locations significantly prolong the analysis time. Cloud providers must therefore have at least one data center which can store all data. Is this is the case with all cloud providers?
2) System reliability account: In order to effectively analyze large amounts of data, cloud service providers must be able to provide a reliable and ultra-powerful network; otherwise it may well await the outcome of an analysis yet supposed to be instant. Is that all providers can offer a powerful network?
3) Strict compliance with service level agreements (SLA) under analysis, failure of virtual machine (VM) is enough to stop the operation and the client will need to run all his operations on another platform. In other words, with Big Data, the service level agreements cease to be a simple preference to become mandatory. Is that all cloud service providers are capable to meet this requirement?
4) Custom configuration, in each case: Since the stability, power and network capacity storage gaining importance with Big Data, levels of performance and quality of service must be configured for each client. Is that all suppliers can meet this requirement, and especially do they accept?
Meet all requirements for Big Data in the Cloud
It is clear that the qualities of network service level agreements on service performance and availability, as well as API are critical aspects for the proper functioning of the analytical tools of Big Data. For this reason, any vendor of Cloud must satisfy each of these requirements in order to perform the analysis correctly and claim to provide services around the Big Data.
However, most cloud providers are not ready. Consequently, and in the context of future exponential growth of services around Big Data, there is likely to industry consolidation, which will tighten around a handful of vendors which continue their development, which others specialize in nice and solve IT problems secondary customers. Make no mistakes: the Big Data revolution has already begun, and while each DSI feels compelled to find new ways to stimulate economic growth, Big Data will continue to fuel conversations and become a factor of the consolidation in the Cloud market.