Comprehensive Guide to Big Data Analytics Hands-On Practices with Hive & Pig

Dr Thejaswini R M.E. Ph.D. is a seasoned academic leader with over 25 years of experience in teaching and research across India and Australia (Victoria University and Royal Melbourne Institute of Technology). Expertise in Computer Technology, Electrical & Electronics Engineering, and emerging technologies like AI & ML, Cyber Security, and IoT. Adept in leadership roles, including Dean, HOD, and placements.
Currently serving as Professor at Sri Siddhartha School of Engineering, has played a pivotal role in developing Center of Excellence -Cyber Security. Passionate about knowledge sharing, she has also been actively involved in research, training and mentoring professionals in the field of emerging technologies.
Dr.B.Gireesha, currently working as a Professor at the Dr.A.P.J.Abdul Kalam School of Engineering, Garden City University, Bengaluru, Karnataka, India. He obtained his Ph.D. from Central University of Karnataka in 2022 and holds an M.Tech. (DECS) from PESIT, Bengaluru, Karnataka in 2014, And B.E., (ECE),from SJMIT,Chitradurga, Karnataka in 2011.Area of Research Interests as Swarm Intelligence, Image Processing, Embedded Systems, IOT, and Cloud Computing. His work has spanned various aspects of Swarm Intelligence, including the development of novel algorithms, the study of computational complexity, and the exploration of connections between Swarm Intelligence and real-world applications. Mrs. M S Shobha is currently working as a Professor in the Department of Dr. A P J Abdul Kalam School of Engineering, Garden City University, Bangalore. She is currently pursuing her Ph.D. from Visvesvaraya Technological University in the area of Blockchain. She completed her masters in Computer Science and Engineering from Dr MGR University Chennai, in 2011.
Dr. Leelambika K.V., Ph.D., M.E., B.E., is a distinguished Assistant Professor – Senior Scale in the Department of Computer Science and Engineering at Presidency University, Bangalore. With a decade of experience in academia, she has demonstrated exceptional expertise in Data Analytics, Machine Learning (ML), Deep Learning (DL), Big Data, and Grid Computing. Her specialization encompasses AI-driven Predictive Analytics, Distributed Computing Systems, High-Performance Data Processing, and Scalable Machine Learning Architectures for Big Data Applications.