The 62 richest people in the world now control as much wealth as the poorest 3.5 billion. More than half of those people are technology wizards or software giants, which makes it quite apparent that the era we live in is more about computing and cybernetics than we can imagine and it is expected that this trend will experience a steep increasing curve growth in the years to come.
Well, technology is ever changing and with each step towards making our lives easier, the technology associated with it has become a bit more smooth and complex as well. Among the various buzzwords today, “Big Data” and “Cloud” have become the face of 21st century tech market and each field has attracted a number of enterprises who have shown their interest to further develop these technologies and grab the financial windfalls awaiting them. Competition has led to fast pace evolution in content and infrastructure and this is where the inter-relation between the two comes into focus.
But as distinct as it may sound, it has the ability to be all jumbled and mixed up and leaves the layman confused. Not to worry.
Big Data simply refers to the huge amount of structured, semi-structured and unstructured data that has the potential to be processed for information. It isn't just the description of the data when it gets "big" (say terabytes/day for example). Technologically, it has the potential of a cybernetic gold-mine. Now a days, a massive amount of data is being generated all thanks to technological growth, digitalization and interconnected paraphernalia of ever increasing databases and information databanks and datacenters which include businesses, application transactions, web pages, videos, images, e-mails, social media, and so on. So to process this veritably infinite mound of data, the Big Data concept has been introduced. Big Data is a broader concept then just assuming it to be the data that just happens to be big.
It can be seen more as a new paradigm of collecting, storing, handling and extracting meaning from different kinds of data. Simply put, Big Data is content.
On the other hand, Cloud computing means obtain or provide IT resources (Infrastructure, Platform, Software, Database, Storage so on ) as a service. It provides so many features like: On-demand self-service, resource pooling, rapid elasticity, flexible scaling and high availability etc. Various services can be availed by hiring out storage space, processing capability and using remote resources by paying for it as and when needed. Instead of buying space or processors, it helps to rent it as required saving expenses by reducing the need to have a personal setup for the task. It provides computing power, databases, networking, machine learning, management and developer tools as well as identity security. Basically it is computing on the move. In layman’s vernacular, Cloud is the infrastructure.
They aren't the same, even though they are somehow and in many ways related. Nonetheless, the two concepts are connected. In fact, it is thanks to cloud computing that you can process big data on your laptop. In fact, it is nowadays much easier to start a tech company than ever before.
Big data is the science of analyzing high volumes of diverse data in near-real time (volume, velocity, variety). Typically it incorporates using NoSQL technology and a distributed architecture to analyze the data. The analysis can be done in the public cloud or on private infrastructure.
At the same time, Cloud computing refers to the use of a scalable public computer network to perform computing tasks. A new paradigm of how we gain access to computing resources. Unlike the traditional captive model, cloud computing lets us "pay as we go" for the computing resources which can expand/contract on real-time based on need and resources can be managed "as a service". E.g., Amazon Web services, Azure, Google Cloud. In addition to this, companies like BlueCat are changing the dynamics of Virtualization & Cloud by carrying out different initiatives.
It is not so surprising that cloud based big data servers are also around now. For, they are much the same yet quite different. Amazon Web Services provides very different things than Google and capabilities differ between any two platforms on the pole. But it is sure that these techno buzzword giants are here to stay. To make our lives easier and enhance and evolve the way we look at data and resources.