Learn about data collection, storage, processing, and analysis, along with tools and methods. Discover real-life examples of big data applications across industries, addressing challenges like privacy and security.
Learn about data collection, storage, processing, and analysis, along with tools and methods. Discover real-life examples of big data applications across industries, addressing challenges like privacy and security.
Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape.
Dr. Jugnesh Kumar is working as a professor in the Computer Science and Engineering department at Echelon Institute of Technology, Faridabad. He also has more than 18 years of teaching experience. He holds an M.Tech. and PhD in computer science and engineering. Dr. Anubhav Kumar is working as a Professor at SCSE Galgotias University, Greater Noida. He also has more than 17 years of teaching experience. He holds an M.Tech and PhD in computer science and engineering. His doctoral work in computer science and engineering focused on NLP. Dr. Rinku Kumar is working as an Assistant Professor in the Computer Science and Engineering Department at St. Andrews Institute of Technology and Management, Gurugram. He also has more than ten years of working experience. He has published more than 12 Articles in Scopus and High Impact Journals and Conferences.
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