Big Data

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Big data has transformed into an important element in establishing growth for any business. The term is used to describe a crucial and massive volume of data to be processed by any software technique. It can also be referred to as a hi-tech tool used to handle large amounts of data. Big data is imperative to a business as it produces a more accurate analysis due to the large amounts of data. Consequently, users can make better decisions that can be helpful in reducing risks and greater operational efficiencies. This paper explains about big data and big data analysis, characteristic of big data and advantages and disadvantages of big data.
Keywords: big data, enterprise data, transactional data, public data, real time data

BIG DATA
A large volume of data is called big data. The larger the extent of data the bigger challenge it is to manage and manipulate. Data can
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It is the most visible aspect of big data for instance twitter can generate more than 7 terabytes of data every day, face book generate 10 TB. With more than 9 billion devices connected to internet, businesses are struggling to cope up with large volume of data they collect (Whittaker, 2012)
VELOCITY
Velocity of data refers to the speed at which data is generated that is the speed of data input and output. More fast data is generated more efficiently and quickly it can meet demands and challenge for growth and development. Due to the increase in machine generated data in millisecond velocity of data has become important aspect for example cell phone providers that generate GPS data. It is basically the rate of change in data that is how quickly it is used to generate value. To deal with data velocity is a challenge for most of the organization today and to meet the technology response most of the companies are considering real time data processing platform.

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