Abstract
Rapid development in the field of information-communication technologies, which has been recorded in recent years, caused the increase from 40 to 50% in the volume of data in companies last year. At present enterprises are able to use only a quarter of the data available. It is expected that by 2020, the volume of data will have reached 35 zettabytes [1]. By analyzing large amounts of data, it is possible to get the information important for an enterprise which will facilitate decision-making process of managers. Technology for large volume data called Big Data is nowadays largely employed for effective use of data.
Highlights
The occurrence of large amounts of data was recorded in the 1970s, when researchers from Berkeley identified that there should be more than 1.5 trillion bits of information generated by 1999
The problem of large amounts of data was firstly introduced in 1997, when NASA scientists identified the problem with the graphics as data visualization, this amounted to such a size that the data files could not be placed in computer’s memory or on the hard drive of the computer [2] and [3]
The main problem in management and decision-making of enterprises is constantly growing amount of data generated within undertaking and its surroundings
Summary
The occurrence of large amounts of data was recorded in the 1970s, when researchers from Berkeley identified that there should be more than 1.5 trillion bits of information generated by 1999. It was established that the amount of data continues to grow. The basis for the definition of large data (Big) in 2001 was formulated by an analyst Doug Laney, who described the ever-increasing amount of data, i.e. diversity, volume and speed. The problem of large amounts of data was firstly introduced in 1997, when NASA scientists identified the problem with the graphics as data visualization, this amounted to such a size that the data files could not be placed in computer’s memory or on the hard drive of the computer [2] and [3]
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