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Big Data Little Data No Data

Big Data  Little Data  No Data
  • Author : Christine L. Borgman
  • Publsiher : MIT Press
  • Release : 03 February 2017
  • ISBN : 0262529912
  • Pages : 416 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKBig Data Little Data No Data

Summary:
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, Little Data, No Data

Big Data, Little Data, No Data
  • Author : Christine L. Borgman
  • Publisher : MIT Press
  • Release : 03 February 2017
GET THIS BOOKBig Data, Little Data, No Data

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

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Big Data

Big Data
  • Author : Viktor Mayer-Schönberger,Kenneth Cukier
  • Publisher : Houghton Mifflin Harcourt
  • Release : 28 June 2022
GET THIS BOOKBig Data

This revelatory exploration of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly and draw profound and surprising conclusions from it, discusses how it will change our lives and what we can do to protect ourselves from its hazards. 75,000 first printing.

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Big Data

Big Data
  • Author : Nathan Marz,James Warren
  • Publisher : Manning Publications Company
  • Release : 28 June 2022
GET THIS BOOKBig Data

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

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Big Data

Big Data
  • Author : Bill Schmarzo
  • Publisher : John Wiley & Sons
  • Release : 07 October 2013
GET THIS BOOKBig Data

Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data:

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Big Data

Big Data
  • Author : Rajkumar Buyya,Rodrigo N. Calheiros,Amir Vahid Dastjerdi
  • Publisher : Morgan Kaufmann
  • Release : 07 June 2016
GET THIS BOOKBig Data

Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques,

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Big Data For Dummies

Big Data For Dummies
  • Author : Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
  • Publisher : John Wiley & Sons
  • Release : 02 April 2013
GET THIS BOOKBig Data For Dummies

Find the right big data solution for your business ororganization Big data management is one of the major challenges facingbusiness, industry, and not-for-profit organizations. Data setssuch as customer transactions for a mega-retailer, weather patternsmonitored by meteorologists, or social network activity can quicklyoutpace the capacity of traditional data management tools. If youneed to develop or manage big data solutions, you'll appreciate howthese four experts define, explain, and guide you through this newand often confusing concept. You'll learn what it is, why

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Big Data

Big Data
  • Author : Saswat Sarangi,Pankaj Sharma
  • Publisher : Taylor & Francis
  • Release : 09 September 2019
GET THIS BOOKBig Data

Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the

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Big Data Analytics

Big Data Analytics
  • Author : Arun K. Somani,Ganesh Chandra Deka
  • Publisher : CRC Press
  • Release : 30 October 2017
GET THIS BOOKBig Data Analytics

The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers.

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Big Data

Big Data
  • Author : Bernard Marr
  • Publisher : John Wiley & Sons
  • Release : 09 January 2015
GET THIS BOOKBig Data

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in

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Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare
  • Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
  • Publisher : Academic Press
  • Release : 22 October 2021
GET THIS BOOKArtificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book

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Big Data Is Not a Monolith

Big Data Is Not a Monolith
  • Author : Cassidy R. Sugimoto,Hamid R. Ekbia,Michael Mattioli
  • Publisher : MIT Press
  • Release : 21 October 2016
GET THIS BOOKBig Data Is Not a Monolith

Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together,

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Big Data Application in Power Systems

Big Data Application in Power Systems
  • Author : Reza Arghandeh,Yuxun Zhou
  • Publisher : Elsevier
  • Release : 27 November 2017
GET THIS BOOKBig Data Application in Power Systems

Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous

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Big Data

Big Data
  • Author : Nasir Raheem
  • Publisher : CRC Press
  • Release : 21 February 2019
GET THIS BOOKBig Data

Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the ‘What’, ‘How’, and ‘Why’ of Big Data. Features Identifies the primary drivers of Big

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Big Data Analytics

Big Data Analytics
  • Author : David Loshin
  • Publisher : Elsevier
  • Release : 23 August 2013
GET THIS BOOKBig Data Analytics

Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise. Guides the reader in assessing the opportunities and value proposition Overview of big data hardware and software architectures Presents a variety of

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Handbook of Big Data

Handbook of Big Data
  • Author : Peter Bühlmann,Petros Drineas,Michael Kane,Mark van der Laan
  • Publisher : CRC Press
  • Release : 22 February 2016
GET THIS BOOKHandbook of Big Data

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical

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