Thick Big Data

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Thick Big Data

Author : Dariusz Jemielniak
Publisher : Oxford University Press, USA
Page : 208 pages
File Size : 41,5 Mb
Release : 2020-02-20
Category : Business & Economics
ISBN : 9780198839705

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Thick Big Data by Dariusz Jemielniak Pdf

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

Thick Big Data

Author : Dariusz Jemielniak
Publisher : Oxford University Press
Page : 208 pages
File Size : 54,9 Mb
Release : 2020-03-25
Category : Business & Economics
ISBN : 9780192576057

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Thick Big Data by Dariusz Jemielniak Pdf

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

Big Data

Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 46,7 Mb
Release : 2013
Category : Business & Economics
ISBN : 9780544002692

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Big Data by Viktor Mayer-Schönberger,Kenneth Cukier Pdf

A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Thick Big Data

Author : Dariusz Jemielniak
Publisher : Oxford University Press, USA
Page : 208 pages
File Size : 52,9 Mb
Release : 2020-02
Category : Business & Economics
ISBN : 0198839715

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Thick Big Data by Dariusz Jemielniak Pdf

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

Quantitative Ethnography

Author : David Williamson Shaffer
Publisher : Lulu.com
Page : 498 pages
File Size : 54,5 Mb
Release : 2017
Category : Ethnology
ISBN : 9780578191683

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Quantitative Ethnography by David Williamson Shaffer Pdf

How can we make sense of make sense of the deluge of information in the digital age? The new science of Quantitative Ethnography dissolves the boundaries between quantitative and qualitative research to give researchers tools for studying the human side of big data: to understand not just what data says, but what it tells us about the people who created it. Thoughtful, literate, and humane, Quantitative Ethnography integrates data-mining, discourse analysis, psychology, statistics, and ethnography into a brand-new science for understanding what people do and why they do it. Packed with anecdotes, stories, and clear explanations of complex ideas, Quantitative Ethnography is an engaging introduction to research methods for students, an introduction to data science for qualitative researchers, and an introduction to the humanities for statisticians--but also a compelling philosophical and intellectual journey for anyone who wants to understand learning, culture and behavior in the age of big data.

Privacy in the Age of Big Data

Author : Theresa Payton,Ted Claypoole
Publisher : Rowman & Littlefield
Page : 277 pages
File Size : 44,9 Mb
Release : 2014-01-16
Category : Computers
ISBN : 9781442225466

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Privacy in the Age of Big Data by Theresa Payton,Ted Claypoole Pdf

Digital devices have made our busy lives a little easier and they do great things for us, too – we get just-in-time coupons, directions, and connection with loved ones while stuck on an airplane runway. Yet, these devices, though we love them, can invade our privacy in ways we are not even aware of. The digital devices send and collect data about us whenever we use them, but that data is not always safeguarded the way we assume it should be to protect our privacy. Privacy is complex and personal. Many of us do not know the full extent to which data is collected, stored, aggregated, and used. As recent revelations indicate, we are subject to a level of data collection and surveillance never before imaginable. While some of these methods may, in fact, protect us and provide us with information and services we deem to be helpful and desired, others can turn out to be insidious and over-arching. Privacy in the Age of Big Data highlights the many positive outcomes of digital surveillance and data collection while also outlining those forms of data collection to which we do not always consent, and of which we are likely unaware, as well as the dangers inherent in such surveillance and tracking. Payton and Claypoole skillfully introduce readers to the many ways we are “watched” and how to change behaviors and activities to recapture and regain more of our privacy. The authors suggest remedies from tools, to behavior changes, to speaking out to politicians to request their privacy back. Anyone who uses digital devices for any reason will want to read this book for its clear and no-nonsense approach to the world of big data and what it means for all of us.

Big Data in the Arts and Humanities

Author : Giovanni Schiuma,Daniela Carlucci
Publisher : CRC Press
Page : 399 pages
File Size : 42,5 Mb
Release : 2018-04-27
Category : Business & Economics
ISBN : 9781351172585

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Big Data in the Arts and Humanities by Giovanni Schiuma,Daniela Carlucci Pdf

As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality. This growing digital transformation coupled with technological evolution and the development of computer computation is shaping a cyber society whose working mechanisms are grounded upon the production, deployment, and exploitation of big data. In the arts and humanities, however, the notion of big data is still in its embryonic stage, and only in the last few years, have arts and cultural organizations and institutions, artists, and humanists started to investigate, explore, and experiment with the deployment and exploitation of big data as well as understand the possible forms of collaborations based on it. Big Data in the Arts and Humanities: Theory and Practice explores the meaning, properties, and applications of big data. This book examines therelevance of big data to the arts and humanities, digital humanities, and management of big data with and for the arts and humanities. It explores the reasons and opportunities for the arts and humanities to embrace the big data revolution. The book also delineates managerial implications to successfully shape a mutually beneficial partnership between the arts and humanities and the big data- and computational digital-based sciences. Big data and arts and humanities can be likened to the rational and emotional aspects of the human mind. This book attempts to integrate these two aspects of human thought to advance decision-making and to enhance the expression of the best of human life.

Public Services Delivery

Author : World Bank
Publisher : World Bank Publications
Page : 276 pages
File Size : 52,6 Mb
Release : 2005
Category : Business & Economics
ISBN : 0821361406

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Public Services Delivery by World Bank Pdf

This publication sets out a framework for analysing the performance of governments in developing countries, looking at the government as a whole and at local and municipal levels, and focusing on individual sectors that form the core of essential government services, such as health, education, welfare, waste disposal, and infrastructure. It draws lessons from performance measurement systems in a range of industrial countries to identify good practice around the world in improving public sector governance, combating corruption and making services work for poor people.

The Big Data Agenda

Author : Annika Richterich
Publisher : University of Westminster Press
Page : 156 pages
File Size : 53,7 Mb
Release : 2018-04-13
Category : Social Science
ISBN : 9781911534730

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The Big Data Agenda by Annika Richterich Pdf

This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.

Collaborative Futures in Qualitative Inquiry

Author : Norman K. Denzin,Michael D. Giardina
Publisher : Routledge
Page : 170 pages
File Size : 51,7 Mb
Release : 2021-05-03
Category : Education
ISBN : 9781000389340

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Collaborative Futures in Qualitative Inquiry by Norman K. Denzin,Michael D. Giardina Pdf

Collaborative Futures in Qualitative Inquiry critically reflects on and explores the role of qualitative research amidst the global COVID-19 pandemic. Against this unprecedented backdrop, it asks what research means during a global pandemic and what it means to be an academic. Leading international scholars from the United States, Canada, Chile, New Zealand, Norway, and the United Kingdom wrestle with the changing dynamics of research in pandemic times. Collectively and collaboratively, contributors call for a critical, performative, social justice inquiry directed at the multiple crises of our historical present—a rethinking of where we have been, and, critically, where we are going. More specifically, contributors focus on such topics as: the emotional geographies of academic writing; assaults on science and truth; pedagogies of the imagination; indigenization and reconciliation; the search for our common humanity; and the relevance of qualitative inquiry in an era of big data and digital transformation. Collaborative Futures in Qualitative Inquiry is a must-read for faculty and students alike who are interested in imagining new ways to collaborate, to engage in research and activism, and represent and intervene into social life in pandemic times.

Big Data Analytics with R and Hadoop

Author : Vignesh Prajapati
Publisher : Unknown
Page : 0 pages
File Size : 51,6 Mb
Release : 2013
Category : Apache Hadoop
ISBN : 178216328X

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Big Data Analytics with R and Hadoop by Vignesh Prajapati Pdf

Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who know Hadoop and want to build some intelligent applications over Big data with R packages. It would be helpful if readers have basic knowledge of R.

Big Data

Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : John Murray Press
Page : 320 pages
File Size : 40,6 Mb
Release : 2017
Category : Business & Economics
ISBN : 1473647207

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Big Data by Viktor Mayer-Schönberger,Kenneth Cukier Pdf

Explores the idea of big data, which refers to our new found ability to crunch vast amounts of information, analyze it instantly, and draw profound and surprising conclusions from it.

Secure and Smart Internet of Things (IoT)

Author : Ahmed Banafa
Publisher : CRC Press
Page : 138 pages
File Size : 49,7 Mb
Release : 2022-09-01
Category : Science
ISBN : 9781000796421

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Secure and Smart Internet of Things (IoT) by Ahmed Banafa Pdf

By 2020, experts forecast that up to 28 billion devices will be connected to the Internet, with only one third of them being computers, smartphones, smartwatches, and tablets. The remaining two thirds will be other “devices” – sensors, terminals, household appliances, thermostats, televisions, automobiles, production machinery, urban infrastructure and many other “things”, which traditionally have not been Internet enabled.This “Internet of Things” (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution mobile devices connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined. In a nutshell the Internet of Things (IoT) is the convergence of connecting people, things, data and processes; it is transforming our life, business and everything in between. Secure and Smart IoT explores many aspects of the Internet of Things and explains many of the complicated principles of IoT and the new advancements in IoT including using Fog Computing, AI and Blockchain technology.

Big Data Visualization

Author : James D. Miller
Publisher : Packt Publishing Ltd
Page : 299 pages
File Size : 42,6 Mb
Release : 2017-02-28
Category : Computers
ISBN : 9781785284168

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Big Data Visualization by James D. Miller Pdf

Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Who This Book Is For This book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations. What You Will Learn Understand how basic analytics is affected by big data Deep dive into effective and efficient ways of visualizing big data Get to know various approaches (using various technologies) to address the challenges of visualizing big data Comprehend the concepts and models used to visualize big data Know how to visualize big data in real time and for different use cases Understand how to integrate popular dashboard visualization tools such as Splunk and Tableau Get to know the value and process of integrating visual big data with BI tools such as Tableau Make sense of the visualization options for big data, based upon the best suited visualization techniques for big data In Detail When it comes to big data, regular data visualization tools with basic features become insufficient. This book covers the concepts and models used to visualize big data, with a focus on efficient visualizations. This book works around big data visualizations and the challenges around visualizing big data and address characteristic challenges of visualizing like speed in accessing, understanding/adding context to, improving the quality of the data, displaying results, outliers, and so on. We focus on the most popular libraries to execute the tasks of big data visualization and explore "big data oriented" tools such as Hadoop and Tableau. We will show you how data changes with different variables and for different use cases with step-through topics such as: importing data to something like Hadoop, basic analytics. The choice of visualizations depends on the most suited techniques for big data, and we will show you the various options for big data visualizations based upon industry-proven techniques. You will then learn how to integrate popular visualization tools with graphing databases to see how huge amounts of certain data. Finally, you will find out how to display the integration of visual big data with BI using Cognos BI. Style and approach With the help of insightful real-world use cases, we'll tackle data in the world of big data. The scalability and hugeness of the data makes big data visualizations different from normal data visualizations, and this book addresses all the difficulties encountered by professionals while visualizing their big data.

Data Science and Big Data Analytics

Author : EMC Education Services
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 44,8 Mb
Release : 2015-01-05
Category : Computers
ISBN : 9781118876053

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Data Science and Big Data Analytics by EMC Education Services Pdf

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!