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After Theory, Before Big Data

Author : Friedrich Kratochwil

Publisher : Routledge

Page : 283 pages

File Size : 21,11 MB

Release : 2021-07-13

Category : Political Science

ISBN : 1000401642

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Book Description

This book’s key purpose is to contribute to the ongoing "theoretical" discussion in the field of international relations (IR) concerning the status of grand theories. However, it also has a wider, critical mission: to challenge mainstream social science and its dominant methodology, as well as the unfettered optimism that the problem of social order can be solved by the "application" of scientific knowledge to our practical problems. The author uses rigorous philosophical analysis to focus on the unexamined assumptions that form the bedrock of many contemporary scholars in IR and demonstrates the unavailability of a universal "scientific" procedure for finding the facts, when we face practical choices and issues of social reproduction. This book will be of interest to upper-level students of IR, sociology, history, and philosophy of science; it will also speak to students of security, foreign policy making, migration, and political economy, in addressing the basis of their attitudes in thinking about the world and the role of scholarship.



Big Data

Author : Viktor Mayer-Schönberger

Publisher : Houghton Mifflin Harcourt

Page : 257 pages

File Size : 24,20 MB

Release : 2013

Category : Business & Economics

ISBN : 0544002695

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Book Description

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



Social Theory after the Internet

Author : Ralph Schroeder

Publisher : UCL Press

Page : 210 pages

File Size : 34,36 MB

Release : 2018-01-04

Category : Social Science

ISBN : 178735122X

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Book Description

The internet has fundamentally transformed society in the past 25 years, yet existing theories of mass or interpersonal communication do not work well in understanding a digital world. Nor has this understanding been helped by disciplinary specialization and a continual focus on the latest innovations. Ralph Schroeder takes a longer-term view, synthesizing perspectives and findings from various social science disciplines in four countries: the United States, Sweden, India and China. His comparison highlights, among other observations, that smartphones are in many respects more important than PC-based internet uses. Social Theory after the Internet focuses on everyday uses and effects of the internet, including information seeking and big data, and explains how the internet has gone beyond traditional media in, for example, enabling Donald Trump and Narendra Modi to come to power. Schroeder puts forward a sophisticated theory of the role of the internet, and how both technological and social forces shape its significance. He provides a sweeping and penetrating study, theoretically ambitious and at the same time always empirically grounded.The book will be of great interest to students and scholars of digital media and society, the internet and politics, and the social implications of big data.



Big Data in the Arts and Humanities

Author : Giovanni Schiuma

Publisher : CRC Press

Page : 361 pages

File Size : 24,74 MB

Release : 2018-04-27

Category : Business & Economics

ISBN : 1351172581

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Book Description

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.



Big Data

Author : James Warren

Publisher : Simon and Schuster

Page : 481 pages

File Size : 31,89 MB

Release : 2015-04-29

Category : Computers

ISBN : 1638351104

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Book Description

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



Data Science in Theory and Practice

Author : Maria Cristina Mariani

Publisher : John Wiley & Sons

Page : 404 pages

File Size : 27,59 MB

Release : 2021-10-12

Category : Mathematics

ISBN : 1119674689

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Book Description

DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Written in five parts, the book examines some of the most commonly used and fundamental mathematical and statistical concepts that form the basis of data science. The authors go on to analyze various data transformation techniques useful for extracting information from raw data, long memory behavior, and predictive modeling. The book offers readers a multitude of topics all relevant to the analysis of complex data sets. Along with a robust exploration of the theory underpinning data science, it contains numerous applications to specific and practical problems. The book also provides examples of code algorithms in R and Python and provides pseudo-algorithms to port the code to any other language. Ideal for students and practitioners without a strong background in data science, readers will also learn from topics like: Analyses of foundational theoretical subjects, including the history of data science, matrix algebra and random vectors, and multivariate analysis A comprehensive examination of time series forecasting, including the different components of time series and transformations to achieve stationarity Introductions to both the R and Python programming languages, including basic data types and sample manipulations for both languages An exploration of algorithms, including how to write one and how to perform an asymptotic analysis A comprehensive discussion of several techniques for analyzing and predicting complex data sets Perfect for advanced undergraduate and graduate students in Data Science, Business Analytics, and Statistics programs, Data Science in Theory and Practice will also earn a place in the libraries of practicing data scientists, data and business analysts, and statisticians in the private sector, government, and academia.



Big Data Analytics in Supply Chain Management

Author : Iman Rahimi

Publisher : CRC Press

Page : 211 pages

File Size : 45,21 MB

Release : 2020-12-20

Category : Computers

ISBN : 1000326918

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Book Description

In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.



Praxis As a Perspective on International Politics

Author : Gunther Hellmann

Publisher : Policy Press

Page : 320 pages

File Size : 37,18 MB

Release : 2023-10

Category : International relations

ISBN : 1529220475

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Book Description

Bringing together leading figures in the study of international relations, this collection explores praxis as a perspective on international politics and law. It builds on the transdisciplinary work of Friedrich Kratochwil to reveal the scope, limits and blind spots of praxis theorizing.



Facts and Explanations in International Studies...and beyond

Author : Patrick Thaddeus Jackson

Publisher : Taylor & Francis

Page : 184 pages

File Size : 47,79 MB

Release : 2024-09-09

Category : Political Science

ISBN : 104009158X

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Book Description

The politicizing of facts and factual claims has led some to abandon all talk of a meaningful distinction between a fact and a strongly held political commitment. This book argues that what we need, instead, are better accounts of facts and their relationship to explanation—ones that take seriously the dependence of facts on communities of practice and on consensus procedures of measurement, but do not abandon the epistemic distinctiveness of facts. Bringing clarity and order to the discussion by disclosing both key commonalities and significant differences between the ways we talk about facts and explanations, Patrick Thaddeus Jackson argues that although intrinsically more contestable than facts, social-scientific explanations can nonetheless be related to them in ways that allow researchers to evaluate explanations based on whether and to what extent they accord with the relevant facts in each situation. Ardently defending a pragmatist account of knowledge that has no patience with either “alternative facts” or “anything goes” relativism, the author develops a set of concepts that enables tricky philosophical problems to be dissolved. After examining facts, causal explanations, and interpretive explanations, the book culminates in an account of the priority of interpretation in the evaluation of any explanation—and any seemingly factual claim. Defining the terms of the debate and grounding better conversations about the issues, this book will appeal to all scholars interested in the philosophy and methodology of the social sciences, international studies, international relations, security studies, and anyone teaching or studying research methods.



Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

Author : Peng Qi

Publisher : Springer Nature

Page : 1031 pages

File Size : 44,62 MB

Release : 2023-10-27

Category : Computers

ISBN : 9464632380

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Book Description

This is an open access book. Big data is a large-scale and complex data set based on modern information technology. It has the characteristics of scale and diversity, and its information processing and storage capabilities have been significantly improved. The application of big data technology is to fully mine and analyze data, build cooperation and interaction between teachers and students, encourage students to communicate and interact with teachers, and give full play to the education and teaching effect of big data. In order to improve teaching quality and efficiency as much as possible, all kinds of teaching in the new era must have strong flexibility and foresight, so as to adapt to the development of modern society. So big data will give greater flexibility to educational activities. Therefore, big data will give greater flexibility to educational activities, and more and more scholars provide new ideas for the above research directions. To sum up, we will hold an international academic conference on big data and information education. The 2023 4th International Conference on Big Data and Informatization Education (ICBDIE2023) was held on April 7–9, 2023 in Zhangjiajie, China. ICBDIE2023 is to bring together innovative academics and industrial experts in the field of Big Data and Informatization Education to a common forum. The primary goal of the conference is to promote research and developmental activities in Big Data and Informatization Education and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in international conference on Big Data and Informatization Education and related areas.