Down throughout history, certain types of useful technologies tend to emerge in groups or pairs. It is often their shared goals or purposes which ultimately create the definitive versions of the products and services we take for granted every single day. For example, what good are commercial appliances or home lighting without the power grid? Also, wasn’t it essentially a group effort that led to the creation of every major computing device? A similar type of (symbiotic) relationship might exist between BIG data and cloud computing. In other words, the cloud might very well offer the only approach to BIG data that actually works as intended (this is of course, an assumption however, new concepts are emerging on a daily basis now).
Why would a merge with Cloud Computing create a mutually beneficial situation for BIG data practitioners?
A Cloud is essentially already a BIG data pool.
Analytical services and components can be deployed quickly and run in a more efficient manner via Cloud Computing.
The Cloud offers potentially cheaper approaches when it comes to applying personnel and resources to BIG data management.
It makes very little sense to move big pools of data all the time (like what you will find in your typical social networking cloud), especially if it’s already somewhat manageable and in a secure position. If BIG data pools were to be built from the ground up utilizing advanced cloud computing tools, it is very likely that more efficient systems for creating order could also be established over the long term.
One of the major selling points of Cloud Computing is its ability to elastically requisition computing resources on demand. So, if you need 2x, 4x, or even 10x the processing power, you might be able to quickly access it via your cloud vendor’s service / program. When you factor in that any analysis of BIG data is heavily dependent on resources, it only makes sense that one of the most powerful tools (cloud computing) might be considered for the job.
Likewise, there are specific tools and apps which exist on various types of clouds which are nearly perfect for helping to break down patterns, creating search algorithms and pretty much anything else you can think/ dream up. The point is, cloud computing is one of the most versatile technologies ever invented, and it only makes sense to apply it to a large scale challenge like BIG data.
Finally, there’s the economic side of managing BIG data. As you would expect, BIG data management can be a costly endeavor unless you can implement an efficient system that allows you to extract valuable information with the right personnel and tools on hand. Instead of attempting to compile and / or individually purchase all the necessary components for running a BIG data management operation, perhaps it would be better to let some of these responsibilities fall to the cloud. For instance, recently there have been many great IaaS-derived software solutions which allow for deeper, faster and more targeted “trawling” of BIG data (Hadoop being one of the primary examples of this).
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Cloud Computing is essentially a BIG data solution both externally and internally. In other words, cloud strategies could be used to bring additional organization to BIG data while at the same time being able to run applications for analyzing and managing it. In some ways, it seems that BIG data and Cloud Computing are sort of “meant for each other”, or at the very least, “capable of carrying on a mutually beneficial relationship”.
In terms of power and importance, it’s currently unclear whether big businesses will come to see cloud computing as a means of wrangling BIG data, or vice-versa (BIG data as another facet of cloud computing); perhaps it will end up being a bit of both camps? Regardless, it cannot be argued that Cloud Computing has all the necessary tools needed to take advantage of BIG data has to offer.