Cloud and big data, Since its inception, the best advances in information technology have always been available almost exclusively to technology companies, large organizations, government, and educational institutions. That was true until the emergence of cloud computing, in a process that many call the democratization of information technology. With a growing reach, a significant reduction in cost, and an abundance of available applications, anyone now can have the ability to take advantage of the best of existing technology. And many times without spending a penny on the initial investment.
But the democratization of information technology not only affects the cloud but with it, it can also change Big Data. Hadoop adoption is growing at a rapid rate, and the ability to get analytics through affordable, non-proprietary hardware is becoming more ubiquitous.
Posing the question of the possible incompatibility between cloud computing and Big Data refers us to a complex and, at the same time, exciting reality, the current one, in which different technologies and methodologies coexist that are in constant evolution and transformation.
To search for an answer, we must carry out a clear approach to the different concepts that we refer to when we talk about the cloud, on the one hand, and Big Data, with Hadoop at its core, on the other.
If, on the one hand, it cannot be denied that Hadoop is currently the absolute leader in big data analytics, since it allows solving many of the challenges at the corporate level, it is also true that the Big Data world is a new phenomenon. We do not know where it will walk, if Hadoop will have a long journey or if other technologies will replace it, although we do know its tremendous potential and its unstoppable drive.
For now, while Hadoop is just over a decade old, cloud computing is practically just born. However, it is also true that its appearance has triggered large volumes of data, since its emergence has been revolutionary, and its great advantages as a concept they are beyond doubt. For its part, far from being a methodology, the heart of Big Data is a distributed computing platform that even uses cloud services as part of its services.
So why consider them exclusive concepts? Rather, we could speak of complementarity or coexistence as very different solutions that make up the new reality of IT environments. The demand for storage and analysis of big data grows exponentially.
Cloud For Big Data Projects?
But why does uploading Hadoop to the cloud make any sense? Why the cloud is the best choice for Big Data projects? The doubts are logical, because:
- Hadoop makes the Big Data information ocean, characterized by structured and unstructured data, potentially useful.
- However, Hadoop does not require the cloud for its operation, since it is usually deployed in physical environments located in data centers.
- But on the other hand, Hadoop does seem to be essential for the cloud in light of initiatives such as Amazon’s EMR, which uses a Hadoop framework to allow us to process large amounts of data taking advantage of its advantages.
Today, Big Data, which cannot be understood without Hadoop Apache and its rich ecosystem, and cloud computing, which is also beginning to be linked to this opensource framework created to allow distributed computing in commodity hardware, are in excellent health.
Therefore, it is worth asking if the advantages of the cloud will not finally prevail over traditional infrastructures. However, the result will not stop being Big Data in a broad sense.
As a concept or methodology, therefore, cloud computing is a process that offers on-demand computing resources over the internet, and this includes everything from applications or software to data centers. Finally, Hadoop is a platform based on distributed computing. It is a giant in low-cost data processing that feeds the Big Data phenomenon by processing multi-structured data, now also in the cloud, to finally store it in data centers. Therefore, it is difficult to speak of incompatibility.
Cloud And Big Data Make A Perfect Match.
Companies can derive great value from data acquired through big data analytics supported by a cloud infrastructure. The explosion of unstructured data means that ways to reap the benefits of cloud and big data are more important than ever. A hybrid cloud model, for example, can help organizations address security issues on their private cloud while leveraging public cloud infrastructure for analytical services.
In terms of data growth projections, the amount of data created by 2020 will reach an impressive 43 trillion gigabytes, with six billion people in possession of mobile phones.
Cloud computing and big data, while still constantly evolving, are proving to be the perfect match. Together, they provide a cost-effective and scalable infrastructure to support big data and business analytics.
Moving from the old structured data model to the world of unstructured data using very affordable technology is a huge competitive advantage that allows us to access a large number of sources of information.
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