Ramanathan Venkatraman

Work place: National University of Singapore, Singapore

E-mail: rvenkat@nus.edu.sg


Research Interests: Computational Engineering, Engineering


Dr. Ramanathan Venkatraman is working as Member, Advanced Technology Application Practice at National University of Singapore. He has served industry and academia for more than 32 years and has a wide spectrum of experience in the fields of IT and business process engineering. His current research focuses in evolving decision models for business problems and more recently, he has been contributing to frontiers of knowledge by devising innovative architectural models for ICT in domains such as Service Oriented Architecture, Big Data and Enterprise Cloud Computing. Dr Venkatraman has a strong practice approach having worked in large scale IT projects across Asia, US, Europe and NZ. He has published more than 20 research papers in leading journals. Apart from research and consulting, he also teaches advanced technical courses for Masters program at NUS and has been a key architect in setting up innovative software engineering and business analytics curriculum in the fast changing IT education scenario.

Author Articles
SQL Versus NoSQL Movement with Big Data Analytics

By Sitalakshmi Venkatraman Kiran Fahd Samuel Kaspi Ramanathan Venkatraman

DOI: https://doi.org/10.5815/ijitcs.2016.12.07, Pub. Date: 8 Dec. 2016

Two main revolutions in data management have occurred recently, namely Big Data analytics and NoSQL databases. Even though they have evolved with different purposes, their independent developments complement each other and their convergence would benefit businesses tremendously in making real-time decisions using volumes of complex data sets that could be both structured and unstructured. While on one hand many software solutions have emerged in supporting Big Data analytics, on the other, many NoSQL database packages have arrived in the market. However, they lack an independent benchmarking and comparative evaluation. The aim of this paper is to provide an understanding of their contexts and an in-depth study to compare the features of four main NoSQL data models that have evolved. The performance comparison of traditional SQL with NoSQL databases for Big Data analytics shows that NoSQL database poses to be a better option for business situations that require simplicity, adaptability, high performance analytics and distributed scalability of large data. This paper concludes that the NoSQL movement should be leveraged for Big Data analytics and would coexist with relational (SQL) databases.

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