A Survey Paper on Big Data Storage in NoSQL

Abstract

ABSTRACT

In this highly competitive and strategic world, data analysis is very much noteworthy for helping in better decision-making process. Because of the variety, velocity and volume of data, traditional data management tools are insufficient to handle the need of hour. These tools are inexpert to manage unstructured and semi-structured data. To overcome these limitations various new database tools are introduced over the time which lead to the category of NoSQL. The NoSQL databases provide a feasible query processing tool for data collections which are not structured. In this paper authors emphasizes on what is NoSQL and why NoSQL gained popularity in the recent time, the review of various categories of NoSQL databases and will accomplish that which database has the best performance under the specific requirements and scenario. Aim of the present study was to literature review on the NoSQL Database for Big Data processing including the structural issues and the real-time data mining techniques to extract the estimated valuable information. Storage which is efficient to process this large scale of data to extract important information in less response time is the need of current competitive time.

Keywords: NoSQL, Key Value, Document Oriented, Graph based, Column Oriented, Unstructured data, Big Data, Data Processing, Hadoop, Mongo DB