Uncertain Unstructured Data Management: Put All Apple in Nine Basket

Abstract

In recent era, “Big Data” has become a new generic term. Big Data is revamping science, healthcare, finance, engineering, medicine, business and ultimately society itself. Big data has already takes place in the industry and, is altering the uncertain unstructured data management dramatically within the industry and its core business processes. It’s going to significantly impact on business and data management practices within the company [1]. The continued declining costs of storage and computing power will make big data attractive [3][4]. Dealing with big data requires your data management practices to understand and embrace the new reality. We hear the term “unstructured data” often. It’s evolved up as the enormous challenge of big data and often cited as the reason why traditional relational databases don’t meet the needs of Big Data. But the above specified point doesn’t describe the challenges faced by organization with unstructured data. While most research paper is only Big data management into Three V s. but I believe there are “Nine V”s for uncertain unstructured Big Data Management because big data is about joining the dots, plotting the relationship, seeing the sensitivities, understating the cause and effect, in this paper we are classifying the uncertain Unstructured Big Data Management into nine V’s and it’s details are: