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The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.
The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. 'Big Data' refers to a new class of data, to which 'big' doesn't quite do it justice. Much like an ocean is more than simply a deeper swimming pool, big data is fundamentally different to traditional data and needs a whole new approach. Packed with examples and case studies, this clear, comprehensive book will show you how to accumulate and utilise 'big data' in order to develop your business strategy. Big Data Demystified is your practical guide to help you draw deeper insights from the vast information at your fingertips; you will be able to understand customer motivations, speed up production lines, and even offer personalised experiences to each and every customer. With 20 years of industry experience, David Stephenson shows how big data can give you the best competitive edge, and why it is integral to the future of your business.
Big Data Demystified provides a compelling look at one of the most important trends of this decade--Big Data. In this highly accessible book, David Feinleib, producer of The Big Data Landscape and Big Data TV, covers the key aspects of Big Data. The book also includes the latest edition of The Big Data Landscape. Praise for Big Data Demystified "Big Data Demystified is a must-read for anyone interested in BigData."-Brad Feld, Managing Director, Foundry Group "Big Data Demystified is a comprehensive look at Big Data. David has taken a complex topic and simplified it for all of us."-Ken Stephens, Senior vice president, Xerox Cloud Solutions "David uncovers what matters most about Big Data: its business impact. Big Data Demystified is a road atlas for data-driven decision makers."-Michael E. Driscoll, CEO of Metamarkets "Every business leader looking to create competitive advantage through data should stop and read this book."-Roger Ehrenberg, Managing Partner, IA Ventures "If you want to understand one of the most important trends to come along in decades, Big Data Demystified is for you."-Cameron Myhrvold, Ignition Partners "Dave's book is an essential read for anyone who wants to expand their knowledge of what Big Data means for business, government, science, and ultimately for human kind."-Sanjay Mehta, vice president of product marketing, Splunk Inc. "Feinleib explains how Big Data can help you create a richer model of your organization and the wider world and recognize events you would not have discovered otherwise."-Lars Björk, CEO of QlikTech
Data Demystified: A Beginner's Guide to Understanding the World Through Numbers" is an engaging journey through the landscape of data, unraveling its complexities and showcasing its profound impact on our daily lives and the broader world. This book provides a foundational understanding of data's role in modern society, exploring its historical evolution, technical aspects, and vast applications across various sectors. The book begins by introducing the concept of data as the silent language that influences decisions, predicts trends, and shapes our personal preferences. It guides readers through the fundamental aspects of data, including its sources, the terminology used to discuss it, and the metrics and variables that help in data analysis. Each chapter progressively delves deeper into more complex topics such as data visualization, statistical thinking, and the principles behind effective data management. Practical applications of data are discussed extensively, with examples from business, healthcare, education, governance, and more, illustrating how data-driven strategies can lead to better decision-making and innovative solutions. The book also addresses the technological advancements that have expanded data's capabilities, such as big data analytics, the Internet of Things (IoT), and artificial intelligence (AI). "Data Demystified" is not just a technical guide; it also considers the ethical dimensions of data use, emphasizing the importance of responsible data management, privacy concerns, and the moral obligations of those who wield data in significant ways. Designed for beginners yet rich with insights, the book aims to equip readers with the knowledge to not only understand but also effectively use data to enhance their decision-making and strategic planning. It encourages a statistical mindset while making the subject accessible and engaging through real-world examples, practical advice, and a clear, concise writing style.
A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
This book has a collection of articles written by Big Data experts to describe some of the cutting-edge methods and applications from their respective areas of interest, and provides the reader with a detailed overview of the field of Big Data Analytics as it is practiced today. The chapters cover technical aspects of key areas that generate and use Big Data such as management and finance; medicine and healthcare; genome, cytome and microbiome; graphs and networks; Internet of Things; Big Data standards; bench-marking of systems; and others. In addition to different applications, key algorithmic approaches such as graph partitioning, clustering and finite mixture modelling of high-dimensional data are also covered. The varied collection of themes in this volume introduces the reader to the richness of the emerging field of Big Data Analytics.
Unravel the Mysteries of Data Science with Practical Insights! In "Data Science Demystified: Practical Techniques for Analyzing Big Data," Cameron Wright offers a comprehensive guide to navigating the complexities of data analysis in today's digital age. Whether you're a seasoned data scientist or a newcomer to the field, this book equips you with the essential tools and techniques to harness the power of big data effectively. Unlock the Secrets of Big Data Analysis With a clear and concise approach, Wright demystifies complex concepts, making them accessible to readers of all levels. From data collection and preprocessing to advanced machine learning algorithms, this book covers it all. You'll learn how to wrangle large datasets, extract valuable insights, and make informed decisions that drive business success. Practical Guidance for Real-World Applications Through practical examples and hands-on exercises, "Data Science Demystified" bridges the gap between theory and practice. Dive into case studies from various industries, including finance, healthcare, and marketing, and discover how data science is transforming businesses worldwide. Whether you're tackling predictive analytics or implementing data-driven strategies, this book provides the guidance you need to succeed. Stay Ahead in the Data Revolution In today's data-driven world, staying ahead of the curve is essential. "Data Science Demystified" empowers you to harness the full potential of big data and gain a competitive edge in your field. Whether you're looking to enhance your skills or embark on a new career path, this book is your ultimate companion in the journey to mastering data science. Don't miss out on the opportunity to revolutionize your approach to data analysis. Pick up your copy of "Data Science Demystified: Practical Techniques for Analyzing Big Data" today and embark on a transformative journey into the world of data science!
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environments encompass many different fields including medicine, education data, and recommender systems. The aim of this book is to provide the reader with a variety of fields and systems where the analysis and management of Big Data are essential. This book describes the importance of the Big Data era and how existing information systems are required to be adapted to face up the problems derived from the management of massive datasets.