HADOOP: A Comparative Study between Single-Node and Multi-Node Cluster

Data analysis has become a challenge in recent years as the volume of data generated difficult to manage, therefore more hardware and software resources are needed store process this huge amount data. Apache Hadoop is free framework, widely used thanks Distributed Files System (HDFS) its ability relate other processing components such MapReduce for data, Spark - in-memory Processing, Drill SQL on Hadoop, many other. In paper, we analyze framework implementation making comparative study between Single-node Multi-node cluster Hadoop. We will explain detail two layers at base architecture: HDFS Layer with deamons NameNode, Secondary DataNodes MapReuce JobTrackers, TaskTrackers daemons. This work part complex one aiming perform Lake structures.