Big Data is a hot topic and getting a lot of media and business attention. Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. Big data finds insights from complex, noisy, heterogeneous, longitudinal, and voluminous data. and aims to answer questions that were previously unanswered. Big data exists in a wide variety of data-intensive areas such as atmospheric science, genome research, astronomical studies, and network traffic monitor. Collecting, analyzing and understanding Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow. This book, Applied Big Data Analytics is unique among those big-data books because of its great depth and technical approach. It consists of four themes: i)Basics of big data analytics,ii)Tools, techniques and software for analytics iii) Big data analytics in health care sector iv) Big data analytics in industries, bioinformatics and life sciences. With 26 chapters spread over four sections the book demonstrates further the emerging issues and approaches in various areas of Big Data application The aim of this book is to be accessible to researchers, graduate students, and to application-driven practitioners who work in data science and related fields. It is a timely and urgently needed publication, and it provides the most up-to-date, crucial, and practical infor¬mation for big data management, technologies, and applications. Contributed by experts, it is a must-read book for statisticians, data analysts, IT students, researchers, scholars, and workers with big data in mind. Specialty of this book is that it covers important issues of big data from fundamental knowledge to application in various sectors. With an emphasis on real-life implementation of Big Data technologies, this book will provide bold vision from leading innovators across the data-driven spectrum. The latest tools and trends may help gaining fresh insights and strategic momentum to grow and respond to the analytical requirements.
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Award winning Key Note Speaker at International Level, Professor Ajit Kumar Roy is an acclaimed researcher and consultant. Prof. Roy obtained his M.Sc.degree in Statistics and joined Agricultural Research Service (ARS)of Indian Council of Agricultural Research (ICAR) as a Scientist (Statistics)in 1976. In recent past was engaged as National Consultant (Impact Assessment),for East &North Eastern States of India at National Agricultural Innovation Project (World Bank funded) of ICAR. Prior to that he had served as a Consultant(Statistics) at Central Agricultural University, Agartala. Earlier had served at CIFA, ICAR, as Principal Scientist and was involved in applied research in the areas of ICT, Statistics, Bioinformatics Analytics, and Economics. At International level he served as a Computer Specialist at SAARC Agricultural Information Centre (SAIC), Dhaka, Bangladesh for over 3 years. The author with over 45 years of research and teaching experience inStatistical Analysis, Analytics, and information & Knowledge management edited eighteen books and several conference proceedings. Besides, published over 100 articles in refereed journals.
His recent best-sellers are 'Applied Big Data Analytics'; 'Impact of Big Data Analytics on Business, Economy, Health Care and Society'; 'Data Science - A Career Option for 21st Century'; 'Self Learning of Bioinformatics Online';'Applied Bioinformatics, Statistics and Economics in Fisheries Research' and 'Applied Computational Biology and Statistics in Biotechnology and Bioinformatics'.
Member, Organizing Committee Board for the 5th International Conference on 'Biometrics and Biostatistics' to be held during, October 20-21, 2016, Houston, Texas, USA. Editorial Board Member, Jacobs Journal of Biostatistics, Jacobs Publishers, 900 Great Hills, Trail # 150 w, Austin, Texas.Visiting Professor,question setter and examiner of four Indian Universities.
Data pours into millions of computers every moment of every day. It is estimated that the total accumulated data stored on computers worldwide is about 300 exabytes.The annual transmission of data is estimated at about 1.9 zettabytes i.e.1900 billion gigabytes. Due to the tremendous amount of data generated daily from fields such as business, research, and sciences, big data is everywhere and represents huge opportunities to those who can use it effectively. In the past, this information was simply ignored and opportunities were missed. Realizing the great importance of big data, organizations scramble to find hidden information buried in big data and try to make the best use of it. Therefore, alternative management and processing methods have to be created to handle this complex and unstructured data size. The technologies that are incorporated into big data are massive parallelism, huge data volumes, data distribution, high-speed networks, high-performance computing, task and thread management, and data mining and analytics. Big Data is the result of practically everything in the world being monitored and measured, creating data faster than the available technologies can store, process or manage it. Presently there has been a surge of unstructured data, making up as much as 80% of new data that requires attention for management. Big Data results in three basic challenges: storing, processing and managing it efficiently. Scale-out architectures have been developed to store large amount of data and purpose-built appliances have improved the processing capability. The next frontier is learning how to manage Big Data throughout its entire lifecycle. To tackle the challenges of Big Data, novel approaches and tools have emerged. The technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book entitled 'Applied Big Data Analytics' presents a mix of theory and real world cases that discuss the technical and practical issues related to Big Data in intelligent information management. This book provides rich topics of big data management, technologies, and applications.
The edited book on 'Applied Big Data Analytics' reveals how to fully apply the tools and techniques in various fields. The book will certainly be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics particularly the new comers in the areas. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program.
Big Data is one of the more fascinating evolution of the 21st century in the world of IT. The truth is that Big Data has opened up tremendous opportunities and has provided us with endless solutions to deal with social, economic and business problems. The book dealing with live examples provides insight on trends in the analytics and big data space and helps future user's understand how analytics can support their research efforts unveiling fact earlier not known and creating value out of Big Data.
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Paperback. Condition: new. Paperback. Big Data is a hot topic and getting a lot of media and business attention. Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. Big data finds insights from complex, noisy, heterogeneous, longitudinal, and voluminous data. and aims to answer questions that were previously unanswered. Big data exists in a wide variety of data-intensive areas such as atmospheric science, genome research, astronomical studies, and network traffic monitor. Collecting, analyzing and understanding Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow. This book, Applied Big Data Analytics is unique among those big-data books because of its great depth and technical approach. It consists of four themes: i)Basics of big data analytics, ii)Tools, techniques and software for analytics iii) Big data analytics in health care sector iv) Big data analytics in industries, bioinformatics and life sciences. With 26 chapters spread over four sections the book demonstrates further the emerging issues and approaches in various areas of Big Data application The aim of this book is to be accessible to researchers, graduate students, and to application-driven practitioners who work in data science and related fields. It is a timely and urgently needed publication, and it provides the most up-to-date, crucial, and practical information for big data management, technologies, and applications. Contributed by experts, it is a must-read book for statisticians, data analysts, IT students, researchers, scholars, and workers with big data in mind. Specialty of this book is that it covers important issues of big data from fundamental knowledge to application in various sectors. With an emphasis on real-life implementation of Big Data technologies, this book will provide bold vision from leading innovators across the data-driven spectrum. The latest tools and trends may help gaining fresh insights and strategic momentum to grow and respond to the analytical requirements. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781512347180
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