R programming is a big-fat calculator in layman terms. But R is not the jack of all trades when it comes to handling voluminous data like, Bigdata. But ever wondered how much is ‘Big’ in Bigdata?
When organizations have plethora of data (High volume, may be due to the variety of secondary data sources) and business managers are strangled with it, the analysis becomes challenging as it requires a lot of data engineering to go with it, which in other words is Data Preprocessing. Also, what gets more difficult when data is BIG?
Author: Hariram Nagarajan