Big Data Demystified

Author : David Feinleib
Publisher : Unknown
Page : 214 pages
File Size : 47,8 Mb
Release : 2013-05-20
Category : Big data
ISBN : 061577461X

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Big Data Demystified by David Feinleib Pdf

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

Author : David Stephenson
Publisher : Pearson UK
Page : 240 pages
File Size : 46,8 Mb
Release : 2018-02-14
Category : Business & Economics
ISBN : 9781292218113

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Big Data Demystified by David Stephenson Pdf

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.

Author : David Stephenson
Publisher : Pearson UK
Page : 178 pages
File Size : 45,7 Mb
Release : 2018-02-19
Category : Business & Economics
ISBN : 9781292218120

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Big Data Demystified by David Stephenson Pdf

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.

Author : Eric T. Peterson
Publisher : Bookrenter
Page : 256 pages
File Size : 51,5 Mb
Release : 2004
Category : Business & Economics
ISBN : 0974358428

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Web Analytics Demystified by Eric T. Peterson Pdf

Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Publisher : CRC Press
Page : 233 pages
File Size : 52,7 Mb
Release : 2017-02-15
Category : Medical
ISBN : 9781315389301

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Demystifying Big Data and Machine Learning for Healthcare by Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz Pdf

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

Author : D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal
Publisher : Springer
Page : 267 pages
File Size : 40,6 Mb
Release : 2015-04-21
Category : Technology & Engineering
ISBN : 9783319165981

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Computational Intelligence for Big Data Analysis by D.P. Acharjya,Satchidananda Dehuri,Sugata Sanyal Pdf

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.

Author : Singh, Manoj Kumar,G., Dileep Kumar
Publisher : IGI Global
Page : 324 pages
File Size : 52,7 Mb
Release : 2016-06-20
Category : Computers
ISBN : 9781522501831

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Effective Big Data Management and Opportunities for Implementation by Singh, Manoj Kumar,G., Dileep Kumar Pdf

“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.

Author : Cameron Wright
Publisher : Independently Published
Page : 0 pages
File Size : 42,5 Mb
Release : 2024-03-30
Category : Computers
ISBN : 9798321439357

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Data Science Demystified by Cameron Wright Pdf

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!

Author : Arthur K. Kordon
Publisher : Springer Nature
Page : 511 pages
File Size : 43,5 Mb
Release : 2020-09-12
Category : Computers
ISBN : 9783030363758

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Applying Data Science by Arthur K. Kordon Pdf

This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.

Author : Keshav Kaushik,Mamta Dahiya,Ashutosh Dhar Dwivedi
Publisher : Chapman & Hall/CRC
Page : 0 pages
File Size : 43,7 Mb
Release : 2023-09-19
Category : Big data
ISBN : 1032361522

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Demystifying Big Data Analytics for Industries and Smart Societies by Keshav Kaushik,Mamta Dahiya,Ashutosh Dhar Dwivedi Pdf

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. It has an in-depth coverage of big data analytics, machine learning algorithms, spatial data analytics, and IoT-based smart systems.

Author : Susan McBride, PhD, RN-BC, CPHIMS,Mari Tietze, PhD, RN-BC, FHIMSS
Publisher : Springer Publishing Company
Page : 600 pages
File Size : 44,8 Mb
Release : 2015-12-03
Category : Medical
ISBN : 9780826124890

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Nursing Informatics for the Advanced Practice Nurse by Susan McBride, PhD, RN-BC, CPHIMS,Mari Tietze, PhD, RN-BC, FHIMSS Pdf

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

Author : Bruce C. Greenwald,Judd Kahn
Publisher : Penguin
Page : 416 pages
File Size : 44,7 Mb
Release : 2005-08-18
Category : Business & Economics
ISBN : 9781101218433

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Competition Demystified by Bruce C. Greenwald,Judd Kahn Pdf

Bruce Greenwald, one of the nation's leading business professors, presents a new and simplified approach to strategy that cuts through much of the fog that has surrounded the subject. Based on his hugely popular course at Columbia Business School, Greenwald and his coauthor, Judd Kahn, offer an easy-to-follow method for understanding the competitive structure of your industry and developing an appropriate strategy for your specific position. Over the last two decades, the conventional approach to strategy has become frustratingly complex. It's easy to get lost in a sophisticated model of your competitors, suppliers, buyers, substitutes, and other players, while losing sight of the big question: Are there barriers to entry that allow you to do things that other firms cannot?

Author : Sandhu, Kamaljeet
Publisher : IGI Global
Page : 410 pages
File Size : 48,5 Mb
Release : 2021-05-07
Category : Business & Economics
ISBN : 9781799885856

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Disruptive Technology and Digital Transformation for Business and Government by Sandhu, Kamaljeet Pdf

With the far-reaching global impact of the COVID-19 pandemic, the demand and the necessity for digital enterprise transformation have accelerated exponentially. Management and strategies for the adoption and wider usage of newer digital technologies for the transformation of an enterprise through digital tools such as real-time video communications have shown that people no longer need to be required to be physically present in the same place; rather, they can be geographically dispersed. Technologies such as artificial intelligence, cloud computing, digital banking, and cloud data have taken over tasks that were initially done by human hands and have increased both the automation and efficiency of tasks and the accessibility of information and services. Inclusion of all these newer technologies has shown the fast pace at which the digital enterprise transformation is rapidly evolving and how new ecosystems are reshaping the digital enterprise model. Disruptive Technology and Digital Transformation for Business and Government presents interesting research on digital enterprise transformation at different stages and across different settings within government and industry, along with key issues and deeper insights on the core problems and developing solutions and recommendations for digital enterprise transformation. The chapters examine the three core leaders of transformation: the people such as managers, employees, and customers; the digital technology such as artificial intelligence and robotics; and the digital enterprise, including the products and services being transformed. They unravel the underlying process for management and strategies to fully incorporate new digital tools and technologies across all aspects of an enterprise undergoing transformation. This book is ideally intended for managers, executives, IT consultants, business professionals, government officials, researchers, students, practitioners, stakeholders, academicians, and anyone else looking to learn about new developments in digital enterprise transformation of business systems from a global perspective.

Author : David Vance,Peggy Parskey
Publisher : Association for Talent Development
Page : 520 pages
File Size : 49,6 Mb
Release : 2021-12-28
Category : Business & Economics
ISBN : 9781952157691

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Measurement Demystified Field Guide by David Vance,Peggy Parskey Pdf

The Bridge to Your L&D Measurement and Reporting Strategy Building measurement skills is critical for talent development professionals who seek to align their L&D programs to business outcomes for organizational success. Designed to improve your measurement capability and advance the measurement maturity of your organization, the Measurement Demystified Field Guide presents a refresher on the talent development reporting principles framework and measurement strategy. While the Field Guide serves as a standalone volume, it is also a companion to the authors’ first book, Measurement Demystified. In an easy-to-use workbook style, the Field Guide provides nearly 100 skill-building exercises of varying types to help you uncover what measurement work your organization is doing; assess organizational maturity and gaps; understand how to apply specific concepts; and determine what’s right for your organization moving forward. It also offers interview questions to better understand users’ wants and needs; case study exercises to test your knowledge gaps; and reflection questions that focus on your deepening knowledge and skill. You can write your answers in the book or use the resource on ATD’s website. Achieving measurement maturity is a change effort requiring commitment and discipline. Understanding your current capabilities and gaps is an essential first step followed by determining where your organization wants to go in this area. Once both are achieved, you will be able to develop your desired measurement and reporting strategy—the bridge between where you are today and where you aspire to be. The Measurement Demystified Field Guide is that bridge.

Author : Antonio Weiss
Publisher : Kogan Page Publishers
Page : 233 pages
File Size : 54,9 Mb
Release : 2022-02-03
Category : Business & Economics
ISBN : 9781398603660

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The Practical Guide to Digital Transformation by Antonio Weiss Pdf

Digital transformation is a vital practice for organizations trying to keep up with competitors, but with new digital approaches constantly promising to revolutionize the workplace it can feel impossible to keep up. Cut through the hype with this accessible guide to making end-to-end digital transformation happen. While technology offers the possibility for business improvement, successful digital transformation also requires an effective strategy, the right culture, change management, the ability to stimulate innovation and the knowledge of where to upskill and where to bring in new talent. The Practical Guide to Digital Transformation covers each of these factors and more by breaking the process down to 17 easy-to-follow and practical steps. Each chapter includes a case study of an organization getting it right, along with advice on putting the principle into action, key tips and tricks, and what you might say in your next meeting. This book also outlines how to start with the foundations of 'doing digital' and build from there, including data science, cyber security, workable technology, minimised stack duplication, data registers and good user experience. Quickly build confidence and make change happen with this actionable guide to the essentials of digital transformation.