Big Data Analytics Concepts and Technologies

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Author / Editor

Dr. Sri Hari Nallamala

Dr. Sri Hari Nallamala completed his Ph.D. CSE from K L Deemed to be University in the Year 2021 with Machine Learning specialization and M.Tech & B.Tech degrees from JNTU Hyderabad in the years 2010 & 2007 respectively. He has more than 13 years of Teaching Experience. He was recognized as a Research Supervisor for JNTUK for the Degree of Ph.D. (CSE). In his credit, 1 International Patent was granted, 4 National Patents has been published. Dr. Sri Hari Nallamala working as Associate Professor in the Dept. of CSE at Vasireddy Venkatadri Institute of Technology, Nambur, Guntur Dt., Andhra Pradesh, India. Dr. Sri Hari N has total 24 nos. Journal publications. His Scopus h-index is 4 with 54 citations, Google Scholar h-index is 9 with 395 citations. Till now, he was participated and presented 15 papers in several International / National Conferences. He was a Reviewer for the prestigious Elsevier Journals (5 Nos.) like, Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Entertainment Computing, Information Sciences, Informatics in Medicine �?? Unlocked, and EAI Endorsed Transactions Journals, which all are SCI / SCIE / WoS / Scopus Indexed Journals, and also acted as Reviewer for Several International Conferences. He become a Member of professional bodies like, ISTE (Life Member), ISSE (Life Member), SOLETE (Life Member) EAI, IASTER, UACEE, IAENG, IACSIT, IAEST, CSTA, ISOC, etc. His Areas of Research Interest are: Machine Learning, Big Data Analytics, Data Mining, Cloud Computing and Data Science.

Author / Editor

Prof. Dr. Suvarna Vani Koneru

Prof. Dr. Suvarna Vani Koneru is a well-known Researcher in the area of Bio Informatics, Machine Learning, Artificial Intelligence and GIS. She is Honorary Adjunct Senior Research Scientist at Dana Brain Health Institute, Iran. Received Post Doctoral Fellowship from Ton Duc Thang University, Vietnam. She is a life member of the International Society for Rough Sets, International Association of Engineers and Internet Society. She had served in various roles in Technical Teaching with vast experience and currently serving as Professor in the Department of Computer Science and Engineering of Velagapudi Ramakrishna Siddhartha Engineering College. Dr. Vani visited United States of America, United Kingdom, Thailand, Indonesia and Singapore to present her research findings in reputed International conferences organized by ACM, IEEE and Springer. She had been a research fellow of Center for Cellular and Molecular Biology since 2010. She had filed an IPR and published 3 books. In addition to that she had vast number of publications in reputed Journals and Conferences like IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), John Wiley�??s DMKD, IEEE Conference CIBCB and IJCNN.

Author / Editor

Mr.Venugopal Boppana

Mr.Venugopal Boppana obtained his Master�??s degree M.Tech in Computer Science and engineering in2006. Now, he is an Associate Professor in department of Computer Science and engineering at NRI Institute of Technology, Agiripalle, Andhra Pradesh, India. He has 17 plus years of teaching. He published 4 patents intellectual property of India. Mr. VENUGOPAL published his research work in reputedinternational SCI, SCOPUS journals like JOURNAL OF BIG DATA, IJEECS, IJCA and alsoininternational conferences. His current researchinterest includes Machine Learning, Deep Learning.

Author / Editor

Dr. Sanjay Gandhi Gundabatini

Dr. Sanjay Gandhi Gundabatini, working as Professor in the Dept. of CSE at VasireddyVenkatadri Institute of Technology, Nambur, Guntur Dt., Andhra Pradesh, India. Obtained Ph.D CSE from Bangalore University in the Year 2015 with Data Mining specialization. And M.Tech & MCA degrees were completed from JNTU Kakinada and Andhra University in the years 2009 & 2001 respectively. He has more than 22 years of Teaching Experience. He was recognized as Research Supervisor for JNTUK for the Degree of Ph.D. (CSE). He has total 20 nos. Journal publications and out of them more than 6 are Scopus Indexed and remaining are UGC / Google Scholar / Peer Reviewed. Till now, he was participated and presented 9 p apers in several International / National Conferences. He become a Member of professional bodies like, ISTE (Life Member), IE(Life Member), ACM, IASTER, UACEE, IAENG, IACSIT, IAEST, CSTA, ISOC, etc. His Areas of Research Interest are: Data Mining, Data Engineering, Machine Learning, Big Data Analytics, Cloud Computing and Data Sciences.

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Description

Description

Book details

Big Data is creating significant new opportunities for organizations to derive new value and create competitive advantage from their most valuable asset: information. For businesses, Big Data helps drive efficiency, quality, and personalized products and services, producing improved levels of customer satisfaction and profit. For scientific efforts, Big Data analytics enable new avenues of investigation with potentially richer results and deeper insights than previously available. In many cases, Big Data analytics integrate structured and unstructured data with real-time feeds and queries, opening new paths to innovation and insight. This book provides a practitioner�??s approach to some of the key techniques and tools used in Big Data analytics. Knowledge of these methods will help people become active contributors to Big Data analytics projects. The book�??s content is designed to assist multiple stakeholders: business and data analysts looking to add Big Data analytics skills to their portfolio; database professionals and managers of business intelligence, analytics, or Big Data groups looking to enrich their analytic skills; and college graduates investigating data science as a career field. The content is structured / organized in seven chapters. The first chapter introduces the reader to the domain of Big Data, introduction to Hadoop, Hadoop Eco System, HDFS architecture and the building blocks of Hadoop as major topics. The second chapter elobrates the Hadoop MapReduce Programming. In this chapter, the reader gets an idea about MapReduce Framework, components of MR and how to write MR programs. Chapter 3 discusses about Hadoop IO, that how the Input and Output operations are going to be performed on Hadoop along with Comparator, Comparable, and Raw Comparator. Chapter 4 will gives a brief about Apache Pig and also some excercises using Pig. Chapter 5 briefs about Apache Hive along with practicing of some examples. Chapter 6 discusses about YARN which was a resource management tool in the Hadoop Ecosystem. Chapter 7 focus on specific technologies and tools that support advanced analytics with Big Data like, No SQL and HBase.