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…
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Author : David Feinleib
Genre : Big data
Summary : 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
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Author : David Stephenson
Genre : Business & Economics
Summary : 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.
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Author : David Stephenson
Genre : Business & Economics
Summary : 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.
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Author : David Stephenson
Genre :
Summary : 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
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Author : Eric T. Peterson
Genre : Business & Economics
Summary :
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Author : Piethein Strengholt
Genre : Computers
Summary : As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata
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Author : Prashant Natarajan
Genre : Medical
Summary : 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.