A Review of Big Data Challenges and Preserving Privacy in Big Data

We are living in an era where structured and unstructured data is produced, consumed and stored in enormous amount on frequent basis. Database transactions, social media, images, audios, videos etc. are the major sources responsible for generating big data in huge capacity and diversity. This usually consists of large volumes of complex and growing data sets with numerous self-regulating sources that are difficult to process with the conventional techniques of data management. Using big data mining, organizations are able to extract useful evidences from these large data sets. In spite of big data gains, there are numerous challenges also and among these challenges maintaining data privacy is the most important concern in big data mining applications since processing large scale of sensitive data sets such as health record, banking transaction records needs to be maintained in such a way that the private data should not be revealed to any unauthorized person. This paper provides a review of big data, challenges in big data mining and the privacy concern in big data.