Big Data Little Data No Data

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Big Data, Little Data, No Data

Author : Christine L. Borgman
Publisher : MIT Press
ISBN 13 : 0262529912
Total Pages : 411 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Big Data, Little Data, No Data by : Christine L. Borgman

Download or read book Big Data, Little Data, No Data written by Christine L. Borgman and published by MIT Press. This book was released on 2017-02-03 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data—because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure—an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation—six “provocations” meant to inspire discussion about the uses of data in scholarship—Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.

Big Data

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Little Bites of Big Data for Public Policy

Author : Donald F. Kettl
Publisher : CQ Press
ISBN 13 : 150638353X
Total Pages : 0 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Little Bites of Big Data for Public Policy by : Donald F. Kettl

Download or read book Little Bites of Big Data for Public Policy written by Donald F. Kettl and published by CQ Press. This book was released on 2017-02-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Little Bites of Big Data for Public Policy brings to life the quest to make better policy with better evidence. This brief book frames the big puzzles and, through lively stories and clear examples, provides a valuable how-to guide for producing analysis that works—that speaks persuasively to policy makers, in the language they can best hear, on the problems for which they most need answers. Author Donald F. Kettl brings together the cutting-edge streams of data analytics and data visualization to frame the big puzzles and find ways to make the pieces fit together. By taking little bites of a wide variety of useful data, and then by analyzing it in ways that decision makers will find most helpful, analysts can be much more effective in shaping solutions to the most important problems governments face.

Data Smart

Author : John W. Foreman
Publisher : John Wiley & Sons
ISBN 13 : 1118839862
Total Pages : 432 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Smart by : John W. Foreman

Download or read book Data Smart written by John W. Foreman and published by John Wiley & Sons. This book was released on 2013-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.

Scholarship in the Digital Age

Author : Christine L. Borgman
Publisher : MIT Press
ISBN 13 : 0262250667
Total Pages : 363 pages
Book Rating : 4.2/5 (622 download)

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Book Synopsis Scholarship in the Digital Age by : Christine L. Borgman

Download or read book Scholarship in the Digital Age written by Christine L. Borgman and published by MIT Press. This book was released on 2010-08-13 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exploration of the technical, social, legal, and economic aspects of the scholarly infrastructure needed to support research activities in all fields in the twenty-first century. Scholars in all fields now have access to an unprecedented wealth of online information, tools, and services. The Internet lies at the core of an information infrastructure for distributed, data-intensive, and collaborative research. Although much attention has been paid to the new technologies making this possible, from digitized books to sensor networks, it is the underlying social and policy changes that will have the most lasting effect on the scholarly enterprise. In Scholarship in the Digital Age, Christine Borgman explores the technical, social, legal, and economic aspects of the kind of infrastructure that we should be building for scholarly research in the twenty-first century. Borgman describes the roles that information technology plays at every stage in the life cycle of a research project and contrasts these new capabilities with the relatively stable system of scholarly communication, which remains based on publishing in journals, books, and conference proceedings. No framework for the impending “data deluge” exists comparable to that for publishing. Analyzing scholarly practices in the sciences, social sciences, and humanities, Borgman compares each discipline's approach to infrastructure issues. In the process, she challenges the many stakeholders in the scholarly infrastructure—scholars, publishers, libraries, funding agencies, and others—to look beyond their own domains to address the interaction of technical, legal, economic, social, political, and disciplinary concerns. Scholarship in the Digital Age will provoke a stimulating conversation among all who depend on a rich and robust scholarly environment.

Big Data

Author : James Warren
Publisher : Simon and Schuster
ISBN 13 : 1638351104
Total Pages : 481 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Big Data by : James Warren

Download or read book Big Data written by James Warren and published by Simon and Schuster. This book was released on 2015-04-29 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth

Big Data in Small Business

Author : Lund Pedersen, Carsten
Publisher : Edward Elgar Publishing
ISBN 13 : 1839100168
Total Pages : 272 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Big Data in Small Business by : Lund Pedersen, Carsten

Download or read book Big Data in Small Business written by Lund Pedersen, Carsten and published by Edward Elgar Publishing. This book was released on 2021-09-21 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle.

Big Data, Big Analytics

Author : Michael Minelli
Publisher : John Wiley & Sons
ISBN 13 : 111814760X
Total Pages : 230 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Big Data, Big Analytics by : Michael Minelli

Download or read book Big Data, Big Analytics written by Michael Minelli and published by John Wiley & Sons. This book was released on 2013-01-22 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more.

Big Data Revolution

Author : Rob Thomas
Publisher : John Wiley & Sons
ISBN 13 : 1118943716
Total Pages : 294 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Big Data Revolution by : Rob Thomas

Download or read book Big Data Revolution written by Rob Thomas and published by John Wiley & Sons. This book was released on 2015-03-02 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploit the power and potential of Big Data to revolutionize business outcomes Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of Big Data within the business realm. Readers are guided through tried-and-true methodologies for getting more out of data, and using it to the utmost advantage. This book describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding Big Data, all while guiding readers toward better decision making from the perspective of a data scientist. Companies are generating data faster than ever before, and managing that data has become a major challenge. With the right strategy, Big Data can be a powerful tool for creating effective business solutions – but deep understanding is key when applying it to individual business needs. Big Data Revolution provides the insight executives need to incorporate Big Data into a better business strategy, improving outcomes with innovation and efficient use of technology. Examine the major emerging patterns in Big Data Consider the debate surrounding the ethical use of data Recognize patterns and improve personal and organizational performance Make more informed decisions with quantifiable results In an information society, it is becoming increasingly important to make sense of data in an economically viable way. It can drive new revenue streams and give companies a competitive advantage, providing a way forward for businesses navigating an increasingly complex marketplace. Big Data Revolution provides expert insight on the tool that can revolutionize industries.

Small Data

Author : Martin Lindstrom
Publisher : St. Martin's Press
ISBN 13 : 1466892595
Total Pages : 256 pages
Book Rating : 4.4/5 (668 download)

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Book Synopsis Small Data by : Martin Lindstrom

Download or read book Small Data written by Martin Lindstrom and published by St. Martin's Press. This book was released on 2016-02-23 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Martin Lindstrom, a modern-day Sherlock Holmes, harnesses the power of “small data” in his quest to discover the next big thing Hired by the world's leading brands to find out what makes their customers tick, Martin Lindstrom spends 300 nights a year in strangers’ homes, carefully observing every detail in order to uncover their hidden desires, and, ultimately, the clues to a multi-million dollar product. Lindstrom connects the dots in this globetrotting narrative that will enthrall enterprising marketers, as well as anyone with a curiosity about the endless variations of human behavior. You’ll learn... • How a noise reduction headset at 35,000 feet led to the creation of Pepsi’s new trademarked signature sound. • How a worn down sneaker discovered in the home of an 11-year-old German boy led to LEGO’s incredible turnaround. • How a magnet found on a fridge in Siberia resulted in a U.S. supermarket revolution. • How a toy stuffed bear in a girl’s bedroom helped revolutionize a fashion retailer’s 1,000 stores in 20 different countries. • How an ordinary bracelet helped Jenny Craig increase customer loyalty by 159% in less than a year. • How the ergonomic layout of a car dashboard led to the redesign of the Roomba vacuum.

Small Data, Big Disruptions

Author : Martin Schwirn
Publisher : Red Wheel/Weiser
ISBN 13 : 1632657430
Total Pages : 228 pages
Book Rating : 4.6/5 (326 download)

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Book Synopsis Small Data, Big Disruptions by : Martin Schwirn

Download or read book Small Data, Big Disruptions written by Martin Schwirn and published by Red Wheel/Weiser. This book was released on 2021-04-15 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: A method to find and connect the small data clues that show what the future’s big picture will look like. “Strategy decisions are like playing high-stakes blackjack, and scanning is the technique for counting cards. Martin Schwirn isn’t a pro gambler, but an expert in scanning.” —Bill Ralston, cofounder of Strategic Business Insights and author of Scenario Planning Handbook An organization’s future success depends on their decision makers’ ability to anticipate changes and disruptions in the marketplace. But how do you get information about tomorrow today? How can your decisions today account for tomorrow’s uncertainties? Small Data, Big Disruptions presents a tool kit to foresee coming changes: Understand why big data will not help you with understanding tomorrow’s disruptions. The future starts with small data—first. Learn the proven 4-step process to capture small data that help envision the future. See examples of how the process anticipated major disruptions. Implement the process in your organization and learn how to initiate meaningful actions. Small Data, Big Disruptions provides the information you need to anticipate the future, understand tomorrow’s market dynamics, and make the necessary decisions to meet the future on your terms. Small Data, Big Disruptions lets you exploit the period between the moment you could know about emerging disruptions and the moment most everybody will know about it. It’s the difference between being ahead of the curve and struggling to catch up.

Privacy and Big Data

Author : Terence Craig
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449305008
Total Pages : 95 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Privacy and Big Data by : Terence Craig

Download or read book Privacy and Big Data written by Terence Craig and published by "O'Reilly Media, Inc.". This book was released on 2011-09-23 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The players, regulators, and stakeholders"--Cover.

Big Data, Big Dupe

Author : Stephen Few
Publisher :
ISBN 13 : 9781938377105
Total Pages : 0 pages
Book Rating : 4.3/5 (771 download)

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Book Synopsis Big Data, Big Dupe by : Stephen Few

Download or read book Big Data, Big Dupe written by Stephen Few and published by . This book was released on 2018-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argues against the value of big data, suggesting that it is a marketing campaign that distracts from the real and important work of deriving value from data.

Everydata

Author : John H. Johnson
Publisher : Routledge
ISBN 13 : 1351861832
Total Pages : 247 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Everydata by : John H. Johnson

Download or read book Everydata written by John H. Johnson and published by Routledge. This book was released on 2016-10-14 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: While everyone is talking about "big data," the truth is that understanding the "little data"--the stats that underlie newspaper headlines, stock reports, weather forecasts, and so on--is what helps you make smarter decisions at work, at home, and in every aspect of your life. The average person consumes approximately 30 gigabytes of data every single day, but has no idea how to interpret it correctly. EVERYDATA explains, through the eyes of an expert economist and statistician, how to decipher the small bytes of data we consume in a day. EVERYDATA is filled with countless examples of people misconstruing data--with results that range from merely frustrating to catastrophic: The space shuttle Challenger exploded in part because the engineers were reviewing a limited sample set. Millions of women avoid caffeine during pregnancy because they interpret correlation as causation. Attorneys faced a $1 billion jury verdict because of outlier data. Each chapter highlights one commonly misunderstood data concept, using both realworld and hypothetical examples from a wide range of topics, including business, politics, advertising, law, engineering, retail, parenting, and more. You'll find the answer to the question--"Now what?"--along with concrete ways you can use this information to immediately start making smarter decisions, today and every day.

Big Data Marketing

Author : Lisa Arthur
Publisher : John Wiley & Sons
ISBN 13 : 1118734025
Total Pages : 212 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Big Data Marketing by : Lisa Arthur

Download or read book Big Data Marketing written by Lisa Arthur and published by John Wiley & Sons. This book was released on 2013-09-27 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage big data insights to improve customer experiences and insure business success Many of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a result, consumers are losing patience, shareholders are clamoring for growth and differentiation, and marketers are left struggling to untangle the massive mess. Big Data Marketing provides a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth. Using real-world examples, non-technical language, additional downloadable resources, and a healthy dose of humor, Big Data Marketing will help you discover the remedy offered by data-driven marketing. Explains how marketers can use data to learn what they need to know Details strategies to drive marketing relevance and Return On Marketing Investment (ROMI) Provides a five-step approach in the journey to a more data-driven marketing organization Author Lisa Arthur, the Chief Marketing Officer for Teradata Applications, the leader in integrated marketing software, meets with thousands of CMOs and marketing professionals annually through public speaking and events Big Data Marketing reveals patterns in your customers' behavior and proven ways to elevate customer experiences. Leverage these insights to insure your business's success.

Data Divination

Author : Pam Baker
Publisher : Course Technology
ISBN 13 : 9781305115088
Total Pages : 0 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Data Divination by : Pam Baker

Download or read book Data Divination written by Pam Baker and published by Course Technology. This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is being transformed by big data. The growth of the Internet and the rapid expansion of mobile communications and related technologies have created a massive flow of data-both structured and unstructured. The availability and use of that data has enormous implications for businesses and for the wider society. Used effectively, big data can drive businesses in the direction of more accurate analyses of vital information. More accurate analyses can lead to more confident decision making-and eventually to greater operational efficiencies, cost reductions, and reduced risk. This book offers detailed instruction in big-data strategy development and implementation, supported by numerous real-world business cases in eight different industries. You will learn what big data is and what tools are available to mine it. Each chapter answers key questions and will give you the skills you need to make your big-data projects succeed. Put big data to work for you and your company today, with Data Divination: Big Data Strategies

Humanizing Big Data

Author : Colin Strong
Publisher : Kogan Page Publishers
ISBN 13 : 074947212X
Total Pages : 226 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Humanizing Big Data by : Colin Strong

Download or read book Humanizing Big Data written by Colin Strong and published by Kogan Page Publishers. This book was released on 2015-03-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations need a bigger picture, one that generates some real insight into human behaviour, to drive consumer strategy rather than just better targeting techniques. Humanizing Big Data guides marketing managers, brand managers, strategists and senior executives on how to use big data strategically to redefine customer relationships for better customer engagement and an improved bottom line. Humanizing Big Data provides a detailed understanding of the way to approach and think about the challenges and opportunities of big data, enabling any brand to realize the value of their current and future data assets. First it explores the 'nuts and bolts' of data analytics and the way in which the current big data agenda is in danger of losing credibility by paying insufficient attention to what are often fundamental tenets in any form of analysis. Next it sets out a manifesto for a smart data approach, drawing on an intelligent and big picture view of data analytics that addresses the strategic business challenges that businesses face. Finally it explores the way in which datafication is changing the nature of the relationship between brands and consumers and why this calls for new forms of analytics to support rapidly emerging new business models. After reading this book, any brand should be in a position to make a step change in the value they derive from their data assets.