A Survey Paper on Map Reduce in Big Data

Big data is concern massive amount, complex, growing data set from multiple autonomous sources. It has to deal with large and complex dataset that can be structured, semi-structured or unstructured and will typically not fit into memory to be processed. MapReduce is a programming model for processing large datasets distributed on a large clusters. A rapid growth of data in recent time, Industries and academia required an intelligent data analysis tool that would be helpful to satisfy the need to analysis a large amount of data. MapReduce framework is basically designed to compute data demanding applications to support effective decision making. Since its introduction, remarkable research efforts have been put to make it more familiar to the users subsequently utilized to support the execution of enormous data intensive applications. This survey paper highlights and investigates various applications using recent MapReduce models.