Abstract: Big Data refers to huge volume of data which present everywhere, in human body as human protein and also present in our environment. Previous generations amassed vast collections of rocks, papers, photographs, punch cards, microfilm etc. But now it's becoming very difficult for industries to store, retrieve and processes the big data at real time. But now day, the high performance and reliable systems are required to subpart real time work. Map Reduce is a programming model for writing applications that can process Big Data in parallel on multiple nodes. Map Reduce provides analytical capabilities for analyzing huge volumes of complex data.
Keywords: Big Data, Map Reduce, HADOOP, YARN
| DOI: 10.17148/IJARCCE.2018.71216