Enhancing the Performance of Traditional Hadoop Using AWS with EMR Approach
In this on-demand, on command digital universe we have data growing at exponential rate. This data is growing in its volume, variety and velocity as a result it is called “Big Data”. Analysis of this growing data is a challenging job due to the involvement of large distributed file system. Map-Reduce in traditional Hadoop architecture is well known for analyzing big data. Amazon Map-Reduce programming model is introduced by Amazon to work with Amazon computing model and its data storage services. This approach is elastic in its nature hence, called Elastic Map-Reduce(EMR). In Amazon Web Services (AWS) made use of Amazon EC2 model and Amazon S3 is used for storing large complex data. In this paper, the proposed work is to understand the analysis and implementationof Hadoop on top of Amazon EMR approach. This make use of Amazon Services , nodes, compute services, security and management tools.