JCC_V2_N1_A1 N. Madhusudhana Reddy C. Naga Raju Journal on Cloud Computing 2350-1308 2 1 1 6 Big Data, Big Data Mining, Distributed Programming Frameworks, Secure Computations Big data is vast amount of data characterized by volume, velocity and variety. Mining such data can provide comprehensive business intelligence. However, conventional environments are not sufficient to handle and mine such data. Distributed programming frameworks like Hadoop are used to process big data. Such frameworks use a new programming paradigm known as Map Reduce. The challenging issue in big data mining is security implications. This paper explores the merits and demerits of the distributed data mining frameworks such as Hadoop, Haloop, Sailfish and AROM and describes the techniques on how the distributed frameworks for managing and mining big data can help enterprises to make expert decisions. Moreover there is a need for secure computations in distributed programming frameworks. This paper provides useful insights on big data, big data mining and the need for secure computations for processing big data. November 2014 - January 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3300