Data Science – what is it and why do you need it?

In the beginning, there was chaos of data. Then the data was divided into structured and unstructured. One became traditional – manageable, numeric and text values; another the Big Data – all that left: audios, videos, pictures, mobile data, numbers, text – diverse, voluminous and velocity data. Then, data science appeared.

Magic, isn't it?

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