2017/05/14 by Abhay Kumar Bhadani, Bhadani, Abhay, Dhanya Jothimani +1 · 1 citation
Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Cloud Computing and Resource Management #Databases (cs.DB) #FOS: Computer and information sciences #IoT and Edge/Fog Computing
paper · pdf · doi:10.48550/arxiv.1705.04928
openalex publication_date 2017/05/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
With the advent of Internet of Things (IoT) and Web 2.0 technologies, there has been a tremendous growth in the amount of data generated. This chapter emphasizes on the need for big data, technological advancements, tools and techniques being used to process big data are discussed. Technological improvements and limitations of existing storage techniques are also presented. Since, the traditional technologies like Relational Database Management System (RDBMS) have their own limitations to handle big data, new technologies have been developed to handle them and to derive useful insights. This chapter presents an overview of big data analytics, its application, advantages, and limitations. Few research issues and future directions are presented in this chapter.