Now, as the century is moving towards the age of Big data, the requirement for storage of data arises. Data storage was a big problem concerning industrial enterprises until a few days back when Hadoop and other such frameworks came to the rescue. After this problem was solved, focus shifted to the problem of the processing of this stored data. Data science is a solution to this problem of data processing.
Data science in its very brief form is the science of drawing out insights and information out of raw data using a mixture of various tools, algorithms, and machine learning principles. This art of driving out insights from raw data has been flourishing since ancient times when the Egyptians used census data to increase tax collection efficiency and predict the flooding of the Nile river every year. The difference is, with time, data got big and this Big data needs Data science to draw meaning and uncover patterns out of it. This Big data acquires its importance in this modern era from its potential of helping companies in improving their operations and making much faster and intelligent decisions.