A Review and Analysis of Big Data and MapReduce
International Journal of Advanced Trends in Computer Science and Engineering · 2019
The recent years consume the exemplary growth of data generation.This enormous amount of data has brought new kind of problem.The existing RDBMS systems are unable to process the Big Data, or they are not efficient in handling it.The significant problems appeared with the Big Data are storage and processing.Hadoop is brought in the solutions for storage and processing in the form of HDFS (Hadoop Distributed File System) and MapReduce respectively.The traditional systems not construct for keeping the Big Data, and also they can only process structured data.One of the industries, first to face the Big Data challenges is financial sector.In this work, an unstructured stocks data is processed using Hadoop MapReduce.Efficient processing of unstructured data is analyzed, and all the phases involved in implementation explicated.