Big Data : Understanding the Giant Jargon
The convergence of cloud computing, the internet and mobile phones brings more and more of our lives and organizations into the data centre. We then produce large and diverse information flows and must evaluate them. The tools for doing this are the digital organ, which they term "big data." The collective imagination has been fascinated by this ability to find knowledge beyond the normal human reach. The word would find hard to escape this year for writers in technology, industry and the general press alike. I have sought, just like many others, to provide a precise definition of the big data:
Big data is the kind of data which exceeds conventional processing capacity of database management systems. The data are too big, too rapid to transfer or not in line with the specifications of your architecture. You must choose an appropriate way of processing this information to gain value from it.
Nonetheless, public discussion around big data has settled on a popular core, amid this and other attempts to describe it: the idea that we might quantify a way for better decisions. The growing use of IT systems for the industry was as a help mechanism before recent years. The parallels of digital paper systems, automated methods, and workflow have been developed. Although these devices deliver tremendous efficiencies, they have remained largely a virtual exoskeleton which mediates input and output to physical reality— a phone call, a store, a factory floor.
The significant change occurred with the advent of the internet. Information systems in the midst of an organization are no longer simply support systems. They are now the business platform— the website, advertising, and customer service. Information systems now form the means of delivery for many products and services which are electronic in nature. The log and user data streams created from these programs not only help users recognize how a system works but also the users' behavioural patterns and attitudes. The whole process of a company could then be an electronic network from start to finish. It can be analyzed in unprecedented depth, and insights from the analytical analysis can also be incorporated into the organisation, its products and services and adapted to the customer's needs.
It may have been difficult to imagine for some time how these methods could be used in their own contexts, outside of the web world. Nonetheless, this position is becoming outdated through two developments.
Firstly, devices have been unprocessed from mobile telephones into the physical world, unprocessed from the desktop PC or exempted from the wire. There is the ability to interact with people anywhere, at any moment and in the real and virtual environments, so they can connect with them. But businesses and others have inadvertently to become technology vendors by their presence on the internet and on their devices and then also data collectors from software vendors. This is not just a Western phenomenon for retail purposes. Cities and municipalities are best able to serve their people through mobile applications; farmers have improved the lot in developing countries by collecting data via simple texting messages.
Secondly, an improvement in mechanical devices, from detectors to robots, has broadened the algorithm's scope. A device may sense changes in temperature and switch to a radiator and remove the taxi from unnecessary traffic. Progresses in thumbnailing enable computers to be practically unbalanced and thus omnipresent. Due to the swift march of low-cost, three-dimensional printing, machines can now mount tangible objects.
In brief, the whole of the service can no longer only be remotely tracked by web companies. The virtual exoskeleton has now vanished for many. They have a wired nervous system now.
The effects of the electronic nervous system are only just becoming evident. There is a blurring connection between our natural and biological existence and the virtual world of technology. This will be referred to by all parents of today's hyper-connected children, but it still goes deeper. Computer systems, tractable by calculated reasoning, can no longer be considered deterministic devices. Due to the interrelationship and the size of the network, software systems themselves have volatile and dynamic deportment and can be better understood through biological techniques. The physical world is computable from the other side of the blurring line. Sensing, custom-design and robotics mean algorithms will adapt and control their environments in a very real sense.
We have an incredible time, much easier in the world of computation than in the previous era, to boost our results. With this massive increase in power over information, many of which are still unknown to us has serious consequences. Big Data paper moves are now underway in order to promote academic and professional conversations of those who deal with big data in any area, i.e. in research, industry, policy, or community as a whole.
I am hopeful that, from a wide selection of disciplines, both scientists and professionals would contribute important work and knowledge. Conversation among policy-makers, social scientists and engineers must be established as the software forms of the environment itself. All peer-reviewed research in this journal will be published as free access, without a fee to the author, in order to ensure a wider reach to all disciplines and especially industry and government.
Let us jointly embark on this exciting journey and strive to understand and develop big data!
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