Kiran Fahd

Work place: School of Engineering, Construction and Design (IT), Melbourne Polytechnic, VIC 3072, Australia



Research Interests: Computational Engineering, Software Construction, Software Engineering


Kiran Fahd received the B.Eng in software engineering from the National University of Emerging Technologies, Pakistan in 2001, and the Master’s degree in Enterprise Planning System - ERP from the Victoria University, Melbourne in 2010. Since 2001, she has worked in the capacity of software engineer and as a teacher.

Kiran has held various lecturing positions in Australian and overseas universities. She currently teaches the subjects of Bachelor of Information Technology under the Software Development major at the School of Engineering, Construction & Design, Melbourne Polytechnic, Australia.

Author Articles
SQL Versus NoSQL Movement with Big Data Analytics

By Sitalakshmi Venkatraman Kiran Fahd Samuel Kaspi Ramanathan Venkatraman

DOI:, 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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