Essential Learning Components from Big Data Case Studies

Abstract

Global information generates trillions bytes of data every single day via e-mails, chats, e-commerce and media feeds. This structured and unstructured data is often referred as Big Data. The ability of big data lies in analyzing and capturing the information and quickly converting it into actionable insights. Big Data identifies business use cases with measurable outcomes to develop organization-wise big data strategy, through right tools and architecture for implementation with existing data for quick success. This paper presents the multiple case studies in some of the biggest data-generating platforms like e-governance, retail sector, healthcare sector, social networking sites, and astronomy. It also discusses important software-based tools that are employed for analyzing such vast amount of data for predicting the future performance of these platforms based on feedback and popularity.