Data Mining Challenges with Big Data

The large amount of data being generated and that data stored is growing in an exponential manner, it is often used in part to the continuing advances in computer technology. While “big data” has become a highlighted buzzword since last two year, “big data mining”, i.e., mining from big data, has almost without any delay followed up as an come into existence, interrelated research area. Big data is set to offer companies tremendous insight. But with terabytes and petabytes of data pouring in to organizations today, traditional architectures and infrastructures are not up to the challenge. IT teams are burdened with ever-growing requests for data, ad hoc analyses and one-off reports. Decision makers become frustrated because it takes hours or days to get answers to questions, if at all. This paper put up an overview of big data mining and discusses the related challenges and the new opportunities. The discussion resolve into a review of data mining challenges with big data for processing and managing big data as well as the endeavor expected on big data mining. We address broad issues associated to big data mining and/or big data, and point out challenges and issues topics as they shall at proper time flesh out.