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Framing Big Data
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Book Synopsis Framing Big Data by : Maria Cristina Paganoni
Download or read book Framing Big Data written by Maria Cristina Paganoni and published by Springer. This book was released on 2019-07-03 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses big data as a socio-technical construct with huge potential for innovation in key sectors such as healthcare, government and business. Big data and its increasingly widespread use in such influential spheres can generate ethically controversial decisions, including questions surrounding privacy, consent and accountability. This book attempts to unpack the epistemological implications of the term ‘big data’, as well as the opportunities and responsibilities which come with it. The author analyses the linguistic texture of the big data narrative in the news media, in healthcare and in EU law on data protection, in order to contribute to its understanding from the critical perspective of language studies. The result is a study which will be of interest to students and scholars working in the digital humanities, corpus linguistics, and discourse studies.
Book Synopsis Frank Kane's Taming Big Data with Apache Spark and Python by : Frank Kane
Download or read book Frank Kane's Taming Big Data with Apache Spark and Python written by Frank Kane and published by Packt Publishing Ltd. This book was released on 2017-06-30 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. About This Book Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Who This Book Is For If you are a data scientist or data analyst who wants to learn Big Data processing using Apache Spark and Python, this book is for you. If you have some programming experience in Python, and want to learn how to process large amounts of data using Apache Spark, Frank Kane's Taming Big Data with Apache Spark and Python will also help you. What You Will Learn Find out how you can identify Big Data problems as Spark problems Install and run Apache Spark on your computer or on a cluster Analyze large data sets across many CPUs using Spark's Resilient Distributed Datasets Implement machine learning on Spark using the MLlib library Process continuous streams of data in real time using the Spark streaming module Perform complex network analysis using Spark's GraphX library Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster In Detail Frank Kane's Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you'll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease. Style and approach Frank Kane's Taming Big Data with Apache Spark and Python is a hands-on tutorial with over 15 real-world examples carefully explained by Frank in a step-by-step manner. The examples vary in complexity, and you can move through them at your own pace.
Book Synopsis Thinking Big Data in Geography by : Jim Thatcher
Download or read book Thinking Big Data in Geography written by Jim Thatcher and published by U of Nebraska Press. This book was released on 2018-04-01 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intro -- Title Page -- Copyright Page -- Contents -- List of Illustrations -- List of Tables -- Introduction -- Part 1 -- 1. Toward Critical Data Studies -- 2. Big Data ... Why (Oh Why?) This Computational Social Science? -- Part 2 -- 3. Smaller and Slower Data in an Era of Big Data -- 4. Reflexivity, Positionality, and Rigor in the Context of Big Data Research -- Part 3 -- 5. A Hybrid Approach to Geotweets -- 6. Geosocial Footprints and Geoprivacy Concerns -- 7. Foursquare in the City of Fountains -- Part 4 -- 8. Big City, Big Data -- 9. Framing Digital Exclusion in Technologically Mediated Urban Spaces -- Part 5 -- 10. Bringing the Big Data of Climate Change Down to Human Scale -- 11. Synergizing Geoweb and Digital Humanitarian Research -- Part 6 -- 12. Rethinking the Geoweb and Big Data -- Bibliography -- List of Contributors -- Index -- About Jim Thatcher -- About Josef Eckert -- About Andrew Shears
Download or read book Framers written by Kenneth Cukier and published by W H Allen. This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Financial Times and Economist Book of the Year 'Wonderfully stimulating... will teach you to see around corners' - TIM HARFORD 'A paean to cognitive agility and the elasticity of the imagination' - ECONOMIST 'Captivating... will transform the way you think' MARISSA KING, PROFESSOR AT YALE SCHOOL OF MANAGEMENT The power of mental models to make better decisions We're often told that humans make bad decisions and that more data is better. But this is backwards: people are good at decisions precisely because we use mental models and can envision new realities outside of data. Great outcomes don't depend so much on the final moment of choosing but on generating better alternatives to choose between. That's framing. It's a cognitive muscle we can strengthen to improve our lives, work and future -- to meet this historical moment. Framers shows how.
Book Synopsis Big Data Research for Social Sciences and Social Impact by : Miltiadis D. Lytras
Download or read book Big Data Research for Social Sciences and Social Impact written by Miltiadis D. Lytras and published by MDPI. This book was released on 2020-03-19 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new era of innovation is enabled by the integration of social sciences and information systems research. In this context, the adoption of Big Data and analytics technology brings new insight to the social sciences. It also delivers new, flexible responses to crucial social problems and challenges. We are proud to deliver this edited volume on the social impact of big data research. It is one of the first initiatives worldwide analyzing of the impact of this kind of research on individuals and social issues. The organization of the relevant debate is arranged around three pillars: Section A: Big Data Research for Social Impact: • Big Data and Their Social Impact; • (Smart) Citizens from Data Providers to Decision-Makers; • Towards Sustainable Development of Online Communities; • Sentiment from Online Social Networks; • Big Data for Innovation. Section B. Techniques and Methods for Big Data driven research for Social Sciences and Social Impact: • Opinion Mining on Social Media; • Sentiment Analysis of User Preferences; • Sustainable Urban Communities; • Gender Based Check-In Behavior by Using Social Media Big Data; • Web Data-Mining Techniques; • Semantic Network Analysis of Legacy News Media Perception. Section C. Big Data Research Strategies: • Skill Needs for Early Career Researchers—A Text Mining Approach; • Pattern Recognition through Bibliometric Analysis; • Assessing an Organization’s Readiness to Adopt Big Data; • Machine Learning for Predicting Performance; • Analyzing Online Reviews Using Text Mining; • Context–Problem Network and Quantitative Method of Patent Analysis. Complementary social and technological factors including: • Big Social Networks on Sustainable Economic Development; Business Intelligence.
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
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.
Download or read book Big Data? written by Martin Hand and published by Emerald Group Publishing. This book was released on 2014-11-07 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines and engages with the ambivalence of digitization, illuminating the diverse ways in which researchers approach, negotiate, understand and interpret objects and practices of digital research.
Book Synopsis Enterprise Big Data Engineering, Analytics, and Management by : Atzmueller, Martin
Download or read book Enterprise Big Data Engineering, Analytics, and Management written by Atzmueller, Martin and published by IGI Global. This book was released on 2016-06-01 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.
Book Synopsis The Politics and Policies of Big Data by : Ann Rudinow Sætnan
Download or read book The Politics and Policies of Big Data written by Ann Rudinow Sætnan and published by Routledge. This book was released on 2018-05-08 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways. How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance. An interdisciplinary volume, The Politics of Big Data will appeal to undergraduate and postgraduate students, as well as postdoctoral and senior researchers interested in fields such as Technology, Politics and Surveillance.
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.
Book Synopsis Data Science and Big Data Analytics by : EMC Education Services
Download or read book Data Science and Big Data Analytics written by EMC Education Services and published by John Wiley & Sons. This book was released on 2015-01-05 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!
Book Synopsis Global Inequalities & Polarization by : M. Mustafa Erdoğdu
Download or read book Global Inequalities & Polarization written by M. Mustafa Erdoğdu and published by IJOPEC PUBLICATION. This book was released on 2020-10-10 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inequalities are increasing across the world and living conditions are very unequal between different parts of the world. Some people can live healthy, rich, and happy lives while others continue to live in poor health, poverty, and grief. Inequalities have greatly strengthened the economic and political power of those people at the top. This volume is titled “Global Inequalities and Polarization” and contains eight selected articles that approach inequality and polarization from different angles.
Book Synopsis Disinformation and Data Lockdown on Social Platforms by : Shawn Walker
Download or read book Disinformation and Data Lockdown on Social Platforms written by Shawn Walker and published by Routledge. This book was released on 2021-12-27 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the question of how researchers can conduct independent, ethical research on mal-, mis- and disinformation in a rapidly changing and hostile data environment. The escalating issue of data access is thrown into sharp relief by the large-scale use of bots, trolls, fake news, and strategies of false amplification, the effects of which are difficult to quantify due to a corporate environment favouring platform lockdowns and the restriction of access to Application Programming Interfaces (APIs). As social media platforms increase obstacles to independent scholarship by dramatically curbing access to APIs, researchers are faced with the stark choice of either limiting their use of trace data or developing new methods of data collection. Without a breakthrough, social media research may go the way of search engine research, in which only a small group of researchers who have direct relationships with search companies such as Google and Microsoft can access data and conduct research. The chapters in this book were originally published as a special issue of the journal, Information, Communication & Society.
Book Synopsis Technical Advancements of Machine Learning in Healthcare by : Hrudaya Kumar Tripathy
Download or read book Technical Advancements of Machine Learning in Healthcare written by Hrudaya Kumar Tripathy and published by Springer Nature. This book was released on 2021-02-27 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries, healthcare. It presents recent research works based on machine learning approaches supported by medical and information communication technologies with the use of data and image analysis. The book presents insight about techniques which broadly deals in delivery of quality, accurate and affordable healthcare solutions by predictive, proactive and preventative methods. The book also explores the possible use of machine learning in enterprises, such as enhanced medical imaging/diagnostics, understanding medical data, drug discovery and development, robotic surgery and automation, radiation treatments, creating electronic smart records and outbreak prediction.
Download or read book Data Practices written by Evelyn Ruppert and published by MIT Press. This book was released on 2021-11-02 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: How EU data practices establish and assign people to categories, and how this matters in enacting--"making up"--Europe as a population and people. What is "Europe" and who are "Europeans"? Data Practices approaches this contemporary political and theoretical question by treating it as a practical problem of counting. Only through the myriad data practices that make up methods such as censuses can EU member states know their national populations, and this in turn is utilized by the EU to understand the population of Europe. But this volume approaches data practices not simply as reflecting populations but as performative in two senses: they simultaneously enact--that is, "make up"--a European population and, by so doing--intentionally or otherwise--also contribute to making up a European people. The book develops a conception of data practices to analyze and interpret findings from collaborative ethnographic multisite fieldwork conducted by an interdisciplinary team of social science researchers as part of a five-year project, Peopling Europe: How Data Make a People. The book focuses on data practices that involve establishing and assigning people to categories and how this matters in enacting Europe as a population and people. Five core chapters explore key categories of people--usual residents, refugees, homeless people, migrants, and ethnic minorities--and how they come into being through specific data practices such as defining, estimating, recalibrating and inferring. Two additional chapters address two key subject positions that data practices produce and require: the data subject and the statistician subject.
Book Synopsis Linguistic Perspectives on the Construction of Meaning and Knowledge by : Elke Diedrichsen
Download or read book Linguistic Perspectives on the Construction of Meaning and Knowledge written by Elke Diedrichsen and published by Cambridge Scholars Publishing. This book was released on 2019-09-24 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an exploration of the dimensions of meaning in language from several important perspectives that are of major interest to scholars today, bringing together studies from the realms of linguistic pragmatics, semantics, ontological knowledge engineering, and computational linguistics. Situated within modern functional-cognitive constructional-ontological and computational paradigms, the analyses here are supported by authentic language data, including corpus data, from a rich set of languages. Context and situation play an important but complex role in meaning elaboration. The role of context and situation is elusive and has proved difficult to elucidate with respect to meaning and knowledge representation. This volume provides evidence of the nature of the, often rapid, emergence of meaning in the digital world of the internet, social media, and Internet memes. The use of computational avatars and the rise of human language technologies, including big data and digital corpora, have made the construction of meaning and human language understanding essential to the work of linguists, cognitive scientists and computer scientists who are increasingly working together in collaborative teams to share insights.
