Big Data Analytics – II

"Big Data Analytics – II" is a comprehensive guide tailored to meet the advanced learning needs of students studying the Skill Enhancement Course at the University of Delhi under the National Education Policy 2020. This textbook serves as an essential resource for mastering the techniques and tools required for Big Data analytics, focusing prominently on practical skills and up-to-date methodologies. The book is organized into several detailed units covering significant technologies and platforms such as Hadoop Ecosystem, Apache Spark, and GPU Computing for big data processing. It begins with a foundational overview of Big Data systems, including data ingestion techniques using Flume and Sqoop, and progresses to sophisticated discussions on the architecture of Spark, machine learning integration, and efficient data processing using CUDA in GPU environments. Each section includes practical exercises that reinforce learning by applying concepts to real-world scenarios. These activities are designed to help students develop their ability to build scalable data solutions, utilize Spark for big data analysis, implement machine learning algorithms, and leverage GPU computing for enhanced data processing speeds. "Big Data Analytics – II" not only reveals complex topics but also equips learners with the critical skills needed to flourish in the field of data science and analytics. About the Authors Dr Priya Gupta is an Associate Professor at the Atal Bihari Vajpayee School of Management and Entrepreneurship, Jawaharlal Nehru University, New Delhi. Ms. Urmil Bharti serves as an Assistant Professor in the Department of Computer Science at Shaheed Rajguru College of Applied Sciences for Women, University of Delhi. About the Editor Aarti Goel is Assistant Professor at Hansraj College, University of Delhi.