This paper provides a discussion on why the traditional data mining tools cannot be used for big data mining and how the big data is different from data mining.
Big data is collection of complex, large varieties of data set – structured, unstructured and semi structured data that is arriving continuously at high velocity and have capability for giving or revealing meaningful and valuable information. Unlimited and unknown number of sources likes sensors, cameras, internet, social media sites, satellite, email etc. are generating large volume of diversified data but it become a challenging opportunity to gain insight from data flood. Big data have the potential in untapping the resources for delivering insight that transform strategic and operations initiatives of organisation. This tsunami of big data is testing the ability of traditional data analysis tool that are not able to cope up with analysis of big data and extracting valuable insight cost effectively. This paper provides a discussion on why the traditional data mining tools cannot be used for big data mining and how the big data is different from data mining. In this paper we address various issues and challenges related to big data mining.