Applied Big Data Analytics (55 results)

Paperback. Condition: new. Paperback. The impact of data abundance extends well beyond business ensuring funding for social programs. Big Data has the potential to be "humanity's dashboard," an intelligent tool that can help combat poverty, crime and pollution. All these burning issues are covered in the following chapters of the book entitled, 'Applied Big Data Analytics: Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox' 1History of Big Datas-createspace.com/tsw/img/ajax/choosernav-right_off.gif 2Definitions & Surprising Statistics about Big Data 4Open Source Big Data Analytical Platforms and Tools 5Use Cases & Advantages & Benefits of Big Data 6Impact of Big Data on Business, Economy and Society 7Impact of Big data on Healthcare 8Transforming Social Welfare with Analytics 9The Future of Big Data & Risks, Challenges and Paradox A recent Accenture and GE study found that almost 90 percent of companies list Big Data analytics as one of their top priorities, and believe that Big Data analytics will shift the competitive landscape within the next three years. The book provides an opportunity for scholars and researchers in big data and health science, business intelligence, social scientists in developments to update their knowledge on the abovementioned issues. The chapters presented is based on an extensive research with the literature from across humanities, social sciences and the sciences and from popular culture, journalism, and industry publications, and based on my lifelong experience of working earlier in Analytics and now in Big Data Analytics as a Statistician. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. PREFACE Big Data is the expression of this gigantic mass of information that we are constantly generating at the global level. Now the buzzword "big data" refers to the new data-driven paradigm of business, science and technology, where the huge data size and scope enables better and new services, products, and platforms. 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. It is believed that Big Data is one of those mega trends that will impact everyone in one way or another. 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. Presently "big data" is a hot topic and getting a lot of media and business attention. Collecting, analyzing and understanding Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow. Running analyses at the finest granularities while you still have enough data for the results to be meaningful and accurate leads to more precise action and in turn more profits and savings for the company and customers. Over recent times, the concepts of "big data" and "big data analytics" have become ubiquitous. It is hard to visit a web site, open a newspaper, or read a magazine that does not refer to one or both of those phrases. Yet the technologies that are incorporated into big data are massive parallelism, huge data volumes, data distribution, high-speed networks, high-performance computing 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. 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 application aiming intelligent information management. This book covers rich topics of sources of big data generation, analytical tools, and utilization for extracting valuable insight out of scientific study. The edited book 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. The project could not have been successful without the whole hearted support of the valued contributors of the book. Simply, I am grateful to all of them. AJIT KUMAR ROY Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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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.

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Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.25.

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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 272 | Sprache: Englisch | Produktart: Bücher.

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