Srikanth
Big data: Big data is defined as large amount of data which requires new technologies and architectures to make possible to extract value from it & mainly used for capturing data, data storage, data analysis, search, sharing and transfer, visualization, querying, updating, and privacy of information. This is mainly used in relating to human behaviour and interactions. Big data consists of both structured and unstructured.
New sources of big data have a part of location specific data arising from traffic management and from the tracking of personal devices such as smart phones. Big data is a recent upcoming technology in the market which can bring huge benefits to the business organizations.
Uses:
- Understanding and trying to achieve customers
- Understanding and effective as possible in business processes
- Personal qualification and performance functional as possible
- Improvement in public health and health care.
- Improving performance in the sports
- Improvement in research and science
- Improvement in device performance
- Improving in optimizing machine
- Large improvement in security and law
Why to make it more accessible:
Using a valuable collection of electronic transaction information more efficiently will improve the growth and able to last or continue for a long time of economics around the world.
Big data can be defined as the large mass of digital information produced by electronic interactions via cell phones, online transactions, and social networking.
This can be widely used in gathering detailed information on frequent users of the subway, motorway or an establishment. And free mobile applications can be used to carry out surveys or gather economic data, or even to create something and various sources of cloud data.
The World Bank for its part is discussing how mass data can help fight poverty. Including the use of geographical monitoring and analysis of online search habits. Yet to keep its quality of being believed or accepted as true, real or honest.
Big data and real time information analysis are new sources of value creation they allow market segmentation that can guide products towards the right customers; encourage innovative business and production models, help create products to suit customer needs and improve transparency and economic efficiency.
As big data for everyone increasingly becomes accessible to start-ups and organisations. The data in the real time can dramatically reduce differences between developed and less developed states between the rich and poor and public and private institutions.
