Unlocking the potential of big data and analytics significance, applications in diverse domains and implementation of Apache Hadoop map/reduce for citation histogram

Abstract

Big Data analytics helps every sector who wants to grow. This paper also presents analysis of Big Data case studies in diverse domains. Various domains include supply chain, academics, India’s unique identification project, the digital India program and the project smart cities, in medical improved health care. Paper presents how Walmart Inc. a global retail chain offering a wide range of products, including groceries, apparel, and financial services, leverages Big Data analytics, processing 2.5 petabytes of data every hour, to enhance sales by predicting customer needs and optimizing product availability across its stores and how Oracle, committed to help people discover insights and unlock possibilities through data, showcases case studies in manufacturing that use predictive maintenance to enhance operational efficiency, production optimization, and product development. Additionally, Oracle’s Big Data solutions improve customer experience by analyzing data from mobile applications, purchases in stores, and various geographic locations to enhance selling and motivate purchase completion. Research paper presents Big Data, its characteristics, use of Hadoop to handle Big Data challenges and how it is better than typical distributed systems and RDBMS. It also explains how Hadoop’s HDFS and MapReduce work. It also gives Apache Hadoop’s installation instructions and demonstrates running of citation Histogram MapReduce program. It also discusses the Hadoop Ecosystem. Paper contributes for everyone who wants to work in the field of Big Data along with hands-on practical implementation, researchers can use different data and derive useful results.