Big Data Approach for Secure Traffic Data Analytics using Hadoop

Abstract

As the volume of traffic is increasing day by day, it gets difficult to store and process such huge sets of data using traditional software. A cluster of storage devices is needed to store such huge amounts of data and also a parallel computing model for analyzing those huge inputs of data. Hadoop is one such framework that provides reliable cluster of storage facility, which stores huge data in a distributed manner using a special file system, called Hadoop Distributed File System and provides efficient parallel processing feature through MapReduce framework. Using Map Reduce the filtered traffic data can be fetched easily, to provide end user with traffic analysis and giving useful predictions.