Introduction.Nowadays we always hear about Big Data. We know what data is but why “big” data?
Nowadays we always hear about Big Data. We know what data is but why “big” data? Big data refers to things one can do at a large scale that cannot be done at a smaller one, to extract new insights or create new forms of value, in ways that change markets, organizations, the relationships between citizens and governments, and more. — Mayer-Schönberger, Viktor, and Kenneth Cukier, Big Data: A Revolution That Will Transform How We Live, Work, and Think. It sounds great right? But what is the difference between the techniques in big data and traditional data analysis?As we all know, we were still doing data analysis before the term “big data” appears.
When we talk about data processing, Data Science vs Big Data vs Data Analytics are the terms that one might think of and there has always been a confusion between them. In this article on Data science vs Big Data vs Data Analytics, I will understand the similarities and differences between them
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