Significance of restful web services in bigdata analytics

2017 
We are in Big Data technology, through which we analysis of the large volume of data like, peta data. Where there are many challenges in bigdata processing like, scalability issues, heterogeneity, error-handling, privacy, timeliness, source, and visualization, at all stages of the data analysis pipeline from data acquisition to final out come of data. To over come above significant problem, the technical challenges are common across a large variety of application domains, and cost-effective tools to addresses with the perspective of one domain itself. Apache Hadoop provide one such solution for above problem, but by analyzing the solution we identify some issues. The better solution for the above issue we purposed a restful web services. The main importance of the Restfulll Web services is scalability and heterogeneity with a variety of platform. In addition by improving MapReduce technique in Reorder phase leads to get a desirable result. In short in this paper we design and develop a framework for Big Data analytics using RestFul Web Services.
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