Big Data-as-a-service solution for building graph social networks

Abstract

Big Data analytics and Cloud Computing are the new trending that submerged the IT industry. In fact, Big Data technology is providing methods and tools for storing managing and analyzing a large amount of data, and cloud computing provides IT services in a scalable way via internet to a number of clients at low costs. While big data environment requires powerful cluster infrastructure, new ideas about combining this two paradigms were born to enhance business agility and productivity and enable greater efficiencies and reduce costs. Big data as-a-service (BDAAS) refers to common big data services provided as cloud hosted services. These services are intended to provide Big Data features in the cloud. The objective of our research is to describe a BDAAS solution based on Hadoop ecosystem that extracts data from social network and constructs a graph that could be used later for further analysis. As a prototype, we built a graph representing the feeling of a citizen toward a particular deputy. The analysis of the resulting graph will allow citizens and political parties identifying the most popular deputy by analyzing the most significant node.