Data Intensive Computing in the Clouds

Abstract

Data intensive computing deals with computational methods and architectures to analyse and discover intelligence in huge volumes of data generated in many application domains. Cloud computing is a major aim for data intensive computing, as it allows scalable processing of massive amount of data. It is a promising next-generation computing paradigm given its many advantages such as scalability, reliability, elasticity, high availability, and low cost. Here is the problem is big data. We can’t stop the big data. So here I am using to MapReduce model to decrease the data. But the problem of MapReduce is fault tolerance and reliable, so here over come this problem to using Hadoop framework. Hadoop will provide highly fault tolerant, high throughput and it suitable for applications with large data sets, streaming access to file system data and it can be built out of commodity hardware