Man vs Big Data

Man vs Big Data
Author: Stewart Cowley
Publsiher: Aurum
Total Pages: 224
Release: 2017-10-19
ISBN: 1781317569
Category: Mathematics
Language: EN, FR, DE, ES & NL

Man vs Big Data Book Excerpt:

Have you ever wondered how to beat the bookies? How does your computer know you might like this song? Should you be worried about this?... We can’t answer that for you, but Man vs Big Data does explore the numerous ways in which ‘Big Data’ has, sometimes imperceptibly, infiltrated our lives. Everything we do leaves a trail of data behind, from buying something on a credit card, to using a GPS-enabled mobile phone – whether you know it or not, like it or not, Big Data is now a part of modern life. Heralded as the Fourth Industrial Revolution, it is now more crucial than ever to learn about how data is affecting the way we live. Man vs Big Data proves that this topic is one of the most important subjects facing us today and helps you get to grips with what that means for you.

Big Data Challenges

Big Data Challenges
Author: Anno Bunnik,Anthony Cawley,Michael Mulqueen,Andrej Zwitter
Publsiher: Springer
Total Pages: 140
Release: 2016-05-13
ISBN: 1349948853
Category: Political Science
Language: EN, FR, DE, ES & NL

Big Data Challenges Book Excerpt:

This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.

Big Data

Big Data
Author: John Storm Pedersen,Adrian Wilkinson
Publsiher: Edward Elgar Publishing
Total Pages: 416
Release: 2019
ISBN: 1788112350
Category: Political Science
Language: EN, FR, DE, ES & NL

Big Data Book Excerpt:

Promise, Application and Pitfalls

From Big Data to Intelligent Data

From Big Data to Intelligent Data
Author: Fady A. Harfoush
Publsiher: Springer Nature
Total Pages: 111
Release: 2021-06-26
ISBN: 3030769909
Category: Business & Economics
Language: EN, FR, DE, ES & NL

From Big Data to Intelligent Data Book Excerpt:

This book addresses many of the gaps in how industry and academia are currently tackling problems associated with big data. It introduces novel concepts, describes the end-to-end process, and connects the various pieces of the puzzle to offer a holistic view. In addition, it explains important concepts for a wide audience, using accessible language, diagrams, examples and analogies to do so. The book is intended for readers working in industry who want to expand their knowledge or pursue a related degree, and employs an industry-centered perspective.

Big Data

Big Data
Author: Viktor Mayer-Schönberger,Kenneth Cukier
Publsiher: Houghton Mifflin Harcourt
Total Pages: 242
Release: 2013
ISBN: 0544002695
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Big Data Book Excerpt:

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.

Man Versus Microbe What Will it Take to Win

Man Versus Microbe  What Will it Take to Win
Author: Brian Bremner
Publsiher: World Scientific
Total Pages: 135
Release: 2022
ISBN: 1800611153
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Man Versus Microbe What Will it Take to Win Book Excerpt:

Fintech with Artificial Intelligence Big Data and Blockchain

Fintech with Artificial Intelligence  Big Data  and Blockchain
Author: Paul Moon Sub Choi,Seth H. Huang
Publsiher: Springer Nature
Total Pages: 304
Release: 2021-03-08
ISBN: 9813361379
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Fintech with Artificial Intelligence Big Data and Blockchain Book Excerpt:

This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.

Web and Big Data

Web and Big Data
Author: Xin Wang,Rui Zhang,Young-Koo Lee,Le Sun,Yang-Sae Moon
Publsiher: Springer Nature
Total Pages: 829
Release: 2020-10-15
ISBN: 3030602591
Category: Computers
Language: EN, FR, DE, ES & NL

Web and Big Data Book Excerpt:

This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.

Big Data Analytics in Cybersecurity

Big Data Analytics in Cybersecurity
Author: Onur Savas,Julia Deng
Publsiher: CRC Press
Total Pages: 336
Release: 2017-09-18
ISBN: 1498772161
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Big Data Analytics in Cybersecurity Book Excerpt:

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

Big Data Bootcamp

Big Data Bootcamp
Author: David Feinleib
Publsiher: Apress
Total Pages: 244
Release: 2014-09-26
ISBN: 1484200403
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Big Data Bootcamp Book Excerpt:

Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains what big data is and how you can use it in your company to become one of tomorrow’s market leaders. Along the way, it explains the very latest technologies, companies, and advancements. Big data holds the keys to delivering better customer service, offering more attractive products, and unlocking innovation. That’s why, to remain competitive, every organization should become a big data company. It’s also why every manager and technology professional should become knowledgeable about big data and how it is transforming not just their own industries but the global economy. And that knowledge is just what this book delivers. It explains components of big data like Hadoop and NoSQL databases; how big data is compiled, queried, and analyzed; how to create a big data application; and the business sectors ripe for big data-inspired products and services like retail, healthcare, finance, and education. Best of all, your guide is David Feinleib, renowned entrepreneur, venture capitalist, and author of Why Startups Fail. Feinleib’s Big Data Landscape, a market map featured and explained in the book, is an industry benchmark that has been viewed more than 150,000 times and is used as a reference by VMWare, Dell, Intel, the U.S. Government Accountability Office, and many other organizations. Feinleib also explains: • Why every businessperson needs to understand the fundamentals of big data or get run over by those who do • How big data differs from traditional database management systems • How to create and run a big data project • The technical details powering the big data revolution Whether you’re a Fortune 500 executive or the proprietor of a restaurant or web design studio, Big Data Bootcamp will explain how you can take full advantage of new technologies to transform your company and your career.

Big Data and Ethics

Big Data and Ethics
Author: Jérôme Béranger
Publsiher: Elsevier
Total Pages: 324
Release: 2016-07-21
ISBN: 0081010621
Category: Medical
Language: EN, FR, DE, ES & NL

Big Data and Ethics Book Excerpt:

Faced with the exponential development of Big Data and both its legal and economic repercussions, we are still slightly in the dark concerning the use of digital information. In the perpetual balance between confidentiality and transparency, this data will lead us to call into question how we understand certain paradigms, such as the Hippocratic Oath in medicine. As a consequence, a reflection on the study of the risks associated with the ethical issues surrounding the design and manipulation of this “massive data seems to be essential. This book provides a direction and ethical value to these significant volumes of data. It proposes an ethical analysis model and recommendations to better keep this data in check. This empirical and ethico-technical approach brings together the first aspects of a moral framework directed toward thought, conscience and the responsibility of citizens concerned by the use of data of a personal nature. Defines Big Data applications in health Presents the ethical value of the medical datasphere via the description of a model of an ethical analysis of Big Data Provides the recommendations and steps necessary for successful management and governance of personal health data Helps readers determine what conditions are essential for the development of the study of Big Data

The Politics and Policies of Big Data

The Politics and Policies of Big Data
Author: Ann Rudinow Sætnan,Ingrid Schneider,Nicola Green
Publsiher: Routledge
Total Pages: 358
Release: 2018-05-08
ISBN: 1351866540
Category: Social Science
Language: EN, FR, DE, ES & NL

The Politics and Policies of Big Data 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.

Big Data A New Medium

Big Data   A New Medium
Author: Natasha Lushetich
Publsiher: Routledge
Total Pages: 228
Release: 2020-11-26
ISBN: 1000214443
Category: Social Science
Language: EN, FR, DE, ES & NL

Big Data A New Medium Book Excerpt:

Drawing on a range of methods from across science and technology studies, digital humanities and digital arts, this book presents a comprehensive view of the big data phenomenon. Big data architectures are increasingly transforming political questions into technical management by determining classificatory systems in the social, educational, and healthcare realms. Data, and their multiple arborisations, have become new epistemic landscapes. They have also become new existential terrains. The fundamental question is: can big data be seen as a new medium in the way photography or film were when they first appeared? No new medium is ever truly new. It’s always remediation of older media. What is new is the medium’s re-articulation of the difference between here and there, before and after, yours and mine, knowable and unknowable, possible and impossible. This transdisciplinary volume, incorporating cultural and media theory, art, philosophy, history, and political philosophy is a key resource for readers interested in digital humanities, cultural, and media studies.

The Man Who Solved the Market

The Man Who Solved the Market
Author: Gregory Zuckerman
Publsiher: Penguin UK
Total Pages: 384
Release: 2019-11-05
ISBN: 0241981344
Category: Business & Economics
Language: EN, FR, DE, ES & NL

The Man Who Solved the Market Book Excerpt:

NEW YORK TIMES AND SUNDAY TIMES BUSINESS BESTSELLER THE GRIPPING STORY OF HOW A WORLD-CLASS MATHEMATICIAN AND FORMER CODE BREAKER MASTERED THE MARKET When Jim Simons hired physicists, mathematicians and computer scientists to form a hedge fund, experts scoffed. These people would become some of the richest in the world, amassing piles of data and building algorithms that would find the deeply hidden patterns in global markets. Taking the name Renaissance, the company's executives soon began exerting influence outside of the financial world. While Simons became a major figure in scientific research, education, and liberal politics, his senior executive Robert Mercer has been credited with Trump's victorious presidential candidacy and helping steer the UK towards Brexit. Drawing on unprecedented access to Simons and dozens of his employees, Zuckerman, a veteran Wall Street Journal investigative reporter, paints a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm, his country and the world. SHORTLISTED FOR THE FT & MCKINSEY BUSINESS BOOK OF THE YEAR 'Reads more like a delicious page-turning novel' Bloomberg 'A compelling read' Economist 'Captivating' New York Times book review

Protecting Individuals Against the Negative Impact of Big Data

Protecting Individuals Against the Negative Impact of Big Data
Author: Manon Oostveen
Publsiher: Kluwer Law International B.V.
Total Pages: 266
Release: 2018-07-13
ISBN: 9403501413
Category: Law
Language: EN, FR, DE, ES & NL

Protecting Individuals Against the Negative Impact of Big Data Book Excerpt:

In the contemporary information society, organisations increasingly rely on the collection and analysis of large-scale data (popularly called ‘big data’) to make decisions. These processes, which take place largely beyond the individual’s knowledge, produce a cascade of effects that go beyond privacy and data protection. Should we focus on the possibilities of tackling these often negative effects through other areas of law, or maybe even find new solutions to cope with the dark side of big data? This ground-breaking book is the first to address this crucially important question in detail. Among the issues raised in the analysis are such vital elements as the following: − what is meant by ‘big data’; – ‘privacy’ according to the European Court of Human Rights and the Court of Justice of the European Union; – what the European Union legal framework on privacy and data protection consists of and how it functions in the light of big data; – what companies, governments and other organisations are permitted to do with big data under the current regulatory framework; – the central importance of personal autonomy; – circumstances that influence whether or not the right to privacy is triggered; – big data’s possible impact on democracy through, inter alia, potentially limiting freedom of expression; – how governmental or corporate surveillance chills the receiver’s gathering of information and ideas; – selective offering of choices or information, or manipulation of people’s ideas; – procedural aspects that influence the extrapolation of normative concepts of privacy and data protection; and – how discrimination occurs in big data. This book foregrounds a critical scrutiny of commercial uses of big data – its scale, its limited capacity for independent oversight and the expected prevalence of interference with individuals’ rights. The author’s conclusions explore possible legal alternatives to mitigate the negative impact of big data, using legal instruments, case law and legal academic literature in her analysis. Because the amount of digital data keeps growing and the private lives of individuals are increasingly taking place online – and because of the opacity of the big data process, the fundamental values that are at stake, and the speed of technological developments compared to the pace of legal reform – this comprehensive assessment of flaws in the current framework and possible practical solutions will be warmly welcomed by practitioners, policymakers and government officials in all legal fields related to privacy and data protection.

Big Data Second Edition

Big Data  Second Edition
Author: Anil Maheshwari
Publsiher: McGraw-Hill Education
Total Pages: 135
Release: 2019-11-18
ISBN: 9353167965
Category: Computers
Language: EN, FR, DE, ES & NL

Big Data Second Edition Book Excerpt:

This thoroughly revised second edition of "Big Data" introduces application of big data to various domains from farming to healthcare to managing traffic and many more. The book takes a big leap with introduction of three new primer on Data Modeling and Management, Artificial Intelligence and careers in Data Science. Important topics like Big Data Programming languages are simplified and areas like MongoDB have been expanded. The key concepts and technological developments are explained with illustrations. This simple and easy to understand book is aimed for the final year students of Computer Science, professionals and big data enthusiasts. With a series of pictures at the beginning of every chapter from nature and human interaction with it, the book tells a parallel story about life cycle and the many aspects of big data applications in primary education, water resource management, precision farming, finance, etc. Few Highlights: • A new chapter on Data Science careers and job roles • A primer on Artificial Intelligence, and it advantages and threats • A primer on Data Modeling and Management • New section on General Data Protection Rights (GDPR) regime in Europe

Principles of Big Data

Principles of Big Data
Author: Jules J. Berman
Publsiher: Newnes
Total Pages: 288
Release: 2013-05-20
ISBN: 0124047246
Category: Computers
Language: EN, FR, DE, ES & NL

Principles of Big Data Book Excerpt:

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators. Learn general methods for specifying Big Data in a way that is understandable to humans and to computers Avoid the pitfalls in Big Data design and analysis Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources

Bonds in a Day

Bonds in a Day
Author: Stewart Cowley
Publsiher: Harriman House Limited
Total Pages: 158
Release: 2018-05-08
ISBN: 0857196367
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Bonds in a Day Book Excerpt:

The bond markets can be a bewildering place - the words, the concepts and the mathematics can be mind-bogglingly confusing even to seasoned professionals. In this step-by-step guide, Stewart Cowley - one of the UK's best-known bond managers - takes investors through the basics they need to know to begin understanding bonds. From compound interest, through yield calculations, how the bond markets work and how to make the most out of the bond markets, this practical, easy-to-read handbook uses spreadsheet examples combined with a wealth of experience to help you work through real-world examples of bond management.

DERIVATIVES IN A DAY

DERIVATIVES IN A DAY
Author: Stewart Cowley
Publsiher: Harriman House Limited
Total Pages: 175
Release: 2019-09-30
ISBN: 0857196383
Category: Business & Economics
Language: EN, FR, DE, ES & NL

DERIVATIVES IN A DAY Book Excerpt:

The derivatives market is enormous - standing at over $500 trillion globally. Warren Buffett called them "financial weapons of mass destruction". They nearly brought about the collapse of the Western financial system in 2008. They are opaque and often misunderstood. They are also immensely powerful and useful tools in the hands of responsible investors - and key to defending money from volatility and the unexpected. In this accessible and entertaining book, veteran fund manager Stewart Cowley explains with his trademark wit and clarity: - what derivatives are - how you can alter the characteristics of a portfolio using derivatives - how you can protect a portfolio using derivatives - how you can increase the returns to a portfolio using derivatives. Supported by simple spreadsheet examples and illustrations, Derivatives in a Day is perfect for anyone who wants to quickly get a practical grasp of this important financial market.

Big Data in Bioeconomy

Big Data in Bioeconomy
Author: Caj Södergård,Tomas Mildorf,Ephrem Habyarimana,Arne J. Berre,Jose A. Fernandes,Christian Zinke-Wehlmann
Publsiher: Springer Nature
Total Pages: 423
Release: 2021-08-13
ISBN: 3030710696
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Big Data in Bioeconomy Book Excerpt:

This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and sustainable ways to use forest, farm and fishery resources. As a European initiative, the goal is to use these new findings to support decision-makers and producers – meaning farmers, land and forest owners and fishermen. With their 27 pilot projects from 17 countries, the authors examine important sectors and highlight examples where modern data-driven methods were used to increase sustainability. How can farmers, foresters or fishermen use these insights in their daily lives? The authors answer this and other questions for our readers. The first four parts of this book give an overview of the big data technologies relevant for optimal raw material gathering. The next three parts put these technologies into perspective, by showing useable applications from farming, forestry and fishery. The final part of this book gives a summary and a view on the future. With its broad outlook and variety of topics, this book is an enrichment for students and scientists in bioeconomy, biodiversity and renewable resources.