Pallavi Chavan, Kalyani Pampattiwar, Ramchandra Mangrulkar

Essentials of Big Data Analytics

Applications in R and Python. Sprache: Englisch.
kartoniert , 250 Seiten
ISBN 0443452067
EAN 9780443452062
Veröffentlicht 1. Februar 2026
Verlag/Hersteller Elsevier Science
166,50 inkl. MwSt.
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Beschreibung

Essentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of big data. Essentials of Big Data Analytics is designed to provide a comprehensive resource for readers looking to deepen their understanding of Big Data analytics, particularly within a computer science, engineering, and data science context. By bridging theoretical concepts with practical applications, the book emphasizes hands-on learning through exercises and tutorials, specifically utilizing R and Python. Given the growing role of Big Data in industry and scientific research, this book serves as a timely resource to equip professionals with the skills needed to thrive in data-driven environments.

Portrait

Dr. Pallavi Vijay Chavan is Professor and head-IT at Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, MH, India. She has been in academics since the past 20 years and working in the area of computing theory, data science and network security. In her academic journey, she published research work in the data science and security domain with reputed publishers including Springer, Elsevier, CRC press and Inderscience. She has published 5 books, 17+ book chapters, 10+ international journal papers and 30+ international conference papers. Two research scholars have successfully completed their PhD under her guidance and presently she is guiding 5 Ph.D. research scholars in the similar domain. She completed her Ph.D. from Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, MH, India in 2017. She secured the first merit position in Nagpur University for the degree of B.E. in Computer Engineering in 2003. She is recipient of research grants from UGC, CSIR and University of Mumbai. She is acting as a reviewer for Elsevier , Inderscience journals. Her firm belief is "Teaching is a mission”.

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