big data demystified

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Big Data Demystified

Author : David Stephenson
ISBN : 9781292218120
Genre : Business & Economics
File Size : 53. 21 MB
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Big Data is a big topic, based on simple principles. Guided by leading expert in the field, David Stephenson, you will be amazed at how you can transform your company, and significantly improve KPIs across a broad range of business units and applications. Find out how an ecommerce company avoided two million product returns per year, how a newspaper saw triple-digit annual growth in digital subscriptions, how researchers in England learned to better detect pending cardiovascular problems, and how AI programs taught themselves to win games using techniques that even their human programmers didn’t understand, all thanks to big data. Find out also how one company realized it could swap a million dollar hardware system with a twenty thousand dollar replacement. With simple and straightforward chapters that allow you to map examples onto your own business, Big Data Demystified will help you: · Know which data is most useful to collect now and why it’s important to start collecting that data as soon as possible.· Understand big data and data science and how they can help you reach your business goals and gain competitive advantage.· Use big data to understand where you are now and how you can improve in the future. · Understand factors in choosing a big data system, including whether to go with cloud-based solutions.· Construct your big data team in a way that supports an effective strategy and helps make your business more data-driven. BIG DATA MAKES A BIG DIFFERENCE “Read this book! It is an essential guide to using data in a practical way that drives results." Ian McHenry, CEO Beyond Pricing “This is the book we’ve been missing: big data explained without the complexity.” Marc Salomon, Professor in Decision Sciences and Dean at University of Amsterdam Business School "Big Data for the rest of us! I have never come across a book that is so full of practical advice, actionable examples and helpful explanations. Read this one book and start executing Big Data at your workplace tomorrow!"Tobias Wann CEO at @Leisure Group

Big Data Demystified

Author : David Feinleib
ISBN : 061577461X
Genre : Big data
File Size : 51. 14 MB
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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 Science Demystified

Author : Gautam Banerjee
ISBN : 1502375532
Genre :
File Size : 78. 16 MB
Format : PDF
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Computational Intelligence For Big Data Analysis

Author : D.P. Acharjya
ISBN : 9783319165981
Genre : Computers
File Size : 56. 79 MB
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The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.

Nursing Informatics For The Advanced Practice Nurse

Author : Susan McBride, PhD, RN-BC, CPHIMS
ISBN : 9780826124890
Genre : Medical
File Size : 41. 33 MB
Format : PDF, ePub
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Designed specifically for graduate-level nursing informatics courses, this is the first text to focus on using technology with an interprofessional team to improve patient care and safety. It delivers an expansive and innovative approach to devising practical methods of optimizing technology to foster quality of patient care and support population health initiatives. Based on the requirements of the DNP Essential IV Core Competency for Informatics and aligning with federal policy health initiatives, the book describes models of information technology the authors have successfully used in health IT, as well as data and analytics used in business, for-profit industry, and not-for-profit health care association settings, which they have adapted for nursing practice in order to foster optimal patient outcomes. The authors espouse a hybrid approach to teaching with a merged competency and concept-based curriculum. With an emphasis on the benefits of an interprofessional team, the book describes the most effective approaches to health care delivery using health information technology. It describes a nursing informatics model that is comprised of three core domains: point-of-care technology, data management and analytics, and patient safety and quality. The book also includes information on point-of-care applications, population health, data management and integrity, and privacy and security. New and emerging technologies explored include genomics, nanotechnology, artificial intelligence, and data mining. Case studies and critical thinking exercises support the concept-based curriculum and facilitate out-of-the-box thinking. Supplemental materials for instructors include PowerPoint slides and a test bank. While targeted primarily for the nursing arena, the text is also of value in medicine, health information management, occupational therapy, and physical therapy. Key Features: Addresses DNP Essential IV Core Competency for Informatics Focuses specifically on using nursing informatics expertise to improve population health, quality, and safety Advocates an interprofessional team approach to optimizing health IT in all practice settings Stimulates critical thinking skills that can by applied to all aspects of IT health care delivery Discusses newest approaches to interprofessional education for IT health care delivery

Nursing Informatics For The Advanced Practice Nurse Second Edition

Author : Susan McBride, PhD, RN-BC, CPHIMS
ISBN : 9780826140555
Genre : Medical
File Size : 29. 73 MB
Format : PDF, Docs
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A “must have” text for all healthcare professionals practicing in the digital age of healthcare. Nursing Informatics for the Advanced Practice Nurse, Second Edition, delivers a practical array of tools and information to show how advanced practice nurses can maximize patient safety, quality of care, and cost savings through the use of technology. Since the first edition of this text, health information technology has only expanded. With increased capability and complexity, the current technology landscape presents new challenges and opportunities for interprofessional teams. Nurses, who are already trained to use the analytic process to assess, analyze, and intervene, are in a unique position to use this same process to lead teams in addressing healthcare delivery challenges with data. The only informatics text written specifically for advanced practice nurses, Nursing Informatics for the Advanced Practice Nurse, Second Edition, takes an expansive, open, and innovative approach to thinking about technology. Every chapter is highly practical, filled with case studies and exercises that demonstrate how the content presented relates to the contemporary healthcare environment. Where applicable, concepts are aligned with the six domains within the Quality and Safety Education in Nursing (QSEN) approach and are tied to national goals and initiatives. Featuring chapters written by physicians, epidemiologists, engineers, dieticians, and health services researchers, the format of this text reflects its core principle that it takes a team to fully realize the benefit of technology for patients and healthcare consumers. What’s New Several chapters present new material to support teams’ optimization of electronic health records Updated national standards and initiatives Increased focus and new information on usability, interoperability and workflow redesign throughout, based on latest evidence Explores challenges and solutions of electronic clinical quality measures (eCQMs), a major initiative in healthcare informatics; Medicare and Medicaid Services use eCQMs to judge quality of care, and how dynamics change rapidly in today’s environment Key Features Presents national standards and healthcare initiatives Provides in-depth case studies for better understanding of informatics in practice Addresses the DNP Essentials, including II: Organization and system leadership for quality improvement and systems thinking, IV: Core Competency for Informatics, and Interprofessional Collaboration for Improving Patient and Population health outcomes Includes end-of-chapter exercises and questions for students Instructor’s Guide and PowerPoint slides for instructors Aligned with QSEN graduate-level competencies

Technology Enhanced Language Learning For Specialized Domains

Author : Elena Martín-Monje
ISBN : 9781317310907
Genre : Education
File Size : 43. 23 MB
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Technology-Enhanced Language Learning for Specialized Domains provides an exploration of the latest developments in technology-enhanced learning and the processing of languages for specific purposes. It combines theoretical and applied research from an interdisciplinary angle, covering general issues related to learning languages with computers, assessment, mobile-assisted language learning, the new language massive open online courses, corpus-based research and computer-assisted aspects of translation. The chapters in this collection include contributions from a number of international experts in the field with a wide range of experience in the use of technologies to enhance the language learning process. The essays have been brought together precisely in recognition of the demand for this kind of specialised tuition, offering state-of-the-art technological and methodological innovation and practical applications. The topics covered revolve around the practical consequences of the current possibilites of mobility for both learners and teachers, as well as the applicability of updated technological advances to language learning and teaching, particularly in specialized domains. This is achieved through the description and discussion of practical examples of those applications in a variety of educational contexts. At the beginning of each thematic section, readers will find an introductory chapter which contextualises the topic and links the different examples discussed. Drawing together rich primary research and empirical studies related to specialized tuition and the processing of languages, Technology-Enhanced Language Learning for Specialized Domains will be an invaluable resource for academics, researchers and postgraduate students in the fields of education, computer assisted language learning, languages and linguistics, and language teaching.

Analytics And Big Data The Davenport Collection 6 Items

Author : Thomas H. Davenport
ISBN : 9781625277749
Genre : Business & Economics
File Size : 76. 23 MB
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The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.

Too Big To Ignore

Author : Phil Simon
ISBN : 9781118641866
Genre : Business & Economics
File Size : 88. 14 MB
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Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Unicode Demystified

Author : Richard Gillam
ISBN : 0201700522
Genre : Computers
File Size : 78. 16 MB
Format : PDF, ePub
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Unicode is a critical enabling technology for developers who want to internationalize applications for global environments. But, until now, developers have had to turn to standards documents for crucial information on utilizing Unicode. In Unicode Demystified, one of IBM's leading software internationalization experts covers every key aspect of Unicode development, offering practical examples and detailed guidance for integrating Unicode 3.0 into virtually any application or environment. Writing from a developer's point of view, Rich Gillam presents a systematic introduction to Unicode's goals, evolution, and key elements. Gillam illuminates the Unicode standards documents with insightful discussions of character properties, the Unicode character database, storage formats, character sequences, Unicode normalization, character encoding conversion, and more. He presents practical techniques for text processing, locating text boundaries, searching, sorting, rendering text, accepting user input, and other key development tasks. Along the way, he offers specific guidance on integrating Unicode with other technologies, including Java, JavaScript, XML, and the Web. For every developer building internationalized applications, internationalizing existing applications, or interfacing with systems that already utilize Unicode.

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