Big Data Open Data And Data Development

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The State of Open Data

Davies, Tim,Walker, Stephen B.,Rubinstein, Mor
The State of Open Data Book PDF

Author : Davies, Tim,Walker, Stephen B.,Rubinstein, Mor
Publisher : African Minds
Page : 590 pages
File Size : 51,7 Mb
Release : 2019-05-22
Category : Social Science
ISBN : 9781928331957

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The State of Open Data by Davies, Tim,Walker, Stephen B.,Rubinstein, Mor Pdf

It’s been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address a myriad of social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. How will open data initiatives respond to new concerns about privacy, inclusion, and artificial intelligence? And what can we learn from the last decade in order to deliver impact where it is most needed? The State of Open Data brings together over 60 authors from around the world to address these questions and to take stock of the real progress made to date across sectors and around the world, uncovering the issues that will shape the future of open data in the years to come.

New Horizons for a Data-Driven Economy

José María Cavanillas,Edward Curry,Wolfgang Wahlster
New Horizons for a Data Driven Economy Book PDF

Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Page : 303 pages
File Size : 44,6 Mb
Release : 2016-04-04
Category : Computers
ISBN : 9783319215693

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New Horizons for a Data-Driven Economy by José María Cavanillas,Edward Curry,Wolfgang Wahlster Pdf

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Big Data, Open Data and Data Development

Jean-Louis Monino,Soraya Sedkaoui
Big Data Open Data and Data Development Book PDF

Author : Jean-Louis Monino,Soraya Sedkaoui
Publisher : John Wiley & Sons
Page : 170 pages
File Size : 52,8 Mb
Release : 2016-03-03
Category : Technology & Engineering
ISBN : 9781119285205

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Big Data, Open Data and Data Development by Jean-Louis Monino,Soraya Sedkaoui Pdf

The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data are available to everyone, anywhere on the planet. The number of Internet users in 2014 was 2.9 billion or 41% of the world population. The need for knowledge is becoming apparent in order to understand this multitude of data. We must educate, inform and train the masses. The development of related technologies, such as the advent of the Internet, social networks, "cloud-computing" (digital factories), has increased the available volumes of data. Currently, each individual creates, consumes, uses digital information: more than 3.4 million e-mails are sent worldwide every second, or 107,000 billion annually with 14,600 e-mails per year per person, but more than 70% are spam. Billions of pieces of content are shared on social networks such as Facebook, more than 2.46 million every minute. We spend more than 4.8 hours a day on the Internet using a computer, and 2.1 hours using a mobile. Data, this new ethereal manna from heaven, is produced in real time. It comes in a continuous stream from a multitude of sources which are generally heterogeneous. This accumulation of data of all types (audio, video, files, photos, etc.) generates new activities, the aim of which is to analyze this enormous mass of information. It is then necessary to adapt and try new approaches, new methods, new knowledge and new ways of working, resulting in new properties and new challenges since SEO logic must be created and implemented. At company level, this mass of data is difficult to manage. Its interpretation is primarily a challenge. This impacts those who are there to "manipulate" the mass and requires a specific infrastructure for creation, storage, processing, analysis and recovery. The biggest challenge lies in "the valuing of data" available in quantity, diversity and access speed.

Big Data, Open Data and Data Development

Jean-Louis Monino,Soraya Sedkaoui
Big Data Open Data and Data Development Book PDF

Author : Jean-Louis Monino,Soraya Sedkaoui
Publisher : John Wiley & Sons
Page : 170 pages
File Size : 40,8 Mb
Release : 2016-03-03
Category : Technology & Engineering
ISBN : 9781119285212

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Big Data, Open Data and Data Development by Jean-Louis Monino,Soraya Sedkaoui Pdf

The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data are available to everyone, anywhere on the planet. The number of Internet users in 2014 was 2.9 billion or 41% of the world population. The need for knowledge is becoming apparent in order to understand this multitude of data. We must educate, inform and train the masses. The development of related technologies, such as the advent of the Internet, social networks, "cloud-computing" (digital factories), has increased the available volumes of data. Currently, each individual creates, consumes, uses digital information: more than 3.4 million e-mails are sent worldwide every second, or 107,000 billion annually with 14,600 e-mails per year per person, but more than 70% are spam. Billions of pieces of content are shared on social networks such as Facebook, more than 2.46 million every minute. We spend more than 4.8 hours a day on the Internet using a computer, and 2.1 hours using a mobile. Data, this new ethereal manna from heaven, is produced in real time. It comes in a continuous stream from a multitude of sources which are generally heterogeneous. This accumulation of data of all types (audio, video, files, photos, etc.) generates new activities, the aim of which is to analyze this enormous mass of information. It is then necessary to adapt and try new approaches, new methods, new knowledge and new ways of working, resulting in new properties and new challenges since SEO logic must be created and implemented. At company level, this mass of data is difficult to manage. Its interpretation is primarily a challenge. This impacts those who are there to "manipulate" the mass and requires a specific infrastructure for creation, storage, processing, analysis and recovery. The biggest challenge lies in "the valuing of data" available in quantity, diversity and access speed.

The World of Open Data

Yannis Charalabidis,Anneke Zuiderwijk,Charalampos Alexopoulos,Marijn Janssen,Thomas Lampoltshammer,Enrico Ferro
The World of Open Data Book PDF

Author : Yannis Charalabidis,Anneke Zuiderwijk,Charalampos Alexopoulos,Marijn Janssen,Thomas Lampoltshammer,Enrico Ferro
Publisher : Springer
Page : 229 pages
File Size : 45,6 Mb
Release : 2018-09-21
Category : Law
ISBN : 9783319908502

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The World of Open Data by Yannis Charalabidis,Anneke Zuiderwijk,Charalampos Alexopoulos,Marijn Janssen,Thomas Lampoltshammer,Enrico Ferro Pdf

This book discusses the latest developments in the field of open data. The opening of data by public organizations has the potential to improve the public sector, inspire business innovation, and establish transparency. With this potential comes unique challenges; these developments impact the operation of governments as well as their relationship with private sector enterprises and society. Changes at the technical, organizational, managerial, and political level are taking place, which, in turn, impact policy-making and traditional institutional structures. This book contributes to the systematic analysis and publication of cutting-edge methods, tools, and approaches for more efficient data sharing policies, practices, and further research. Topics discussed include an introduction to open data, the open data landscape, the open data life cycle, open data policies, organizational issues, interoperability, infrastructure, business models, open data portal evaluation, and research directions, best practices, and guidelines. Written to address different perspectives, this book will be of equal interest to students and researchers, ICT industry staff, practitioners, policy makers and public servants.

Big Data Management

Peter Ghavami
Big Data Management Book PDF

Author : Peter Ghavami
Publisher : Walter de Gruyter GmbH & Co KG
Page : 180 pages
File Size : 55,5 Mb
Release : 2020-11-09
Category : Business & Economics
ISBN : 9783110664324

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Big Data Management by Peter Ghavami Pdf

Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.

Data-Driven Innovation Big Data for Growth and Well-Being

OECD
Data Driven Innovation Big Data for Growth and Well Being Book PDF

Author : OECD
Publisher : OECD Publishing
Page : 456 pages
File Size : 50,9 Mb
Release : 2015-10-06
Category : Electronic
ISBN : 9789264229358

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Data-Driven Innovation Big Data for Growth and Well-Being by OECD Pdf

This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

Big Data Technologies and Applications

Borko Furht,Flavio Villanustre
Big Data Technologies and Applications Book PDF

Author : Borko Furht,Flavio Villanustre
Publisher : Springer
Page : 400 pages
File Size : 47,6 Mb
Release : 2016-09-16
Category : Computers
ISBN : 9783319445502

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Big Data Technologies and Applications by Borko Furht,Flavio Villanustre Pdf

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification. The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.

Big Data Systems

Jawwad Ahmad Shamsi
Big Data Systems Book PDF

Author : Jawwad Ahmad Shamsi
Publisher : CRC Press
Page : 370 pages
File Size : 52,5 Mb
Release : 2021-05-11
Category : Computers
ISBN : 9780429531576

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Big Data Systems by Jawwad Ahmad Shamsi Pdf

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and practical approach has been adopted in which theoretical topics have been aided by well-explained programming and illustrative examples. Key Features: Introduces concepts and evolution of Big Data technology. Illustrates examples for thorough understanding. Contains programming examples for hands on development. Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning. Exemplifies widely used big data technologies such as Hadoop and Spark. Includes discussion on case studies and open issues. Provides end of chapter questions for enhanced learning.

Big Data Analytics for Healthcare

Pantea Keikhosrokiani
Big Data Analytics for Healthcare Book PDF

Author : Pantea Keikhosrokiani
Publisher : Academic Press
Page : 356 pages
File Size : 51,8 Mb
Release : 2022-05-19
Category : Medical
ISBN : 9780323985161

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Big Data Analytics for Healthcare by Pantea Keikhosrokiani Pdf

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems

Big Data For Dummies

Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
Big Data For Dummies Book PDF

Author : Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 50,5 Mb
Release : 2013-04-02
Category : Computers
ISBN : 9781118644171

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Big Data For Dummies by Judith S. Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman Pdf

Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Open data and the knowledge society

Bridgette Wessels,Rachel Finn,Kush Wadhwa,Thordis Sveinsdottir
Open data and the knowledge society Book PDF

Author : Bridgette Wessels,Rachel Finn,Kush Wadhwa,Thordis Sveinsdottir
Publisher : Amsterdam University Press
Page : 128 pages
File Size : 53,5 Mb
Release : 2017-03-10
Category : Computers
ISBN : 9789048529360

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Open data and the knowledge society by Bridgette Wessels,Rachel Finn,Kush Wadhwa,Thordis Sveinsdottir Pdf

The idea of a knowledge society has been raised over the last two decades but the transition to such a society has not been realized up to the present time, and discussion about a knowledge society has largely focused on a knowledge economy and information society rather than a mobilization to a knowledge society. These debates have, however, taken place before the rise of open data and big data and the development of an open data movement. The book considers the role of the open data movement in fostering transformation to a knowledge society. The characteristics of the open data movement include the strong conviction of the value of open data for society, attention to the institutional aspects of making data open in an inclusive way, and a practical focus on the technological infrastructure that are key in mobilizing a knowledge society. At the heart of any mobilization is an emerging open data ecosystem and new ways of producing and using data - whether 'born digital' data, digitized data, or big data - and how that data, when made openly available, can be used in a knowledgeable way by societal actors.

Big Data Factories

Sorin Adam Matei,Nicolas Jullien,Sean P. Goggins
Big Data Factories Book PDF

Author : Sorin Adam Matei,Nicolas Jullien,Sean P. Goggins
Publisher : Springer
Page : 141 pages
File Size : 42,5 Mb
Release : 2017-11-27
Category : Computers
ISBN : 9783319591865

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Big Data Factories by Sorin Adam Matei,Nicolas Jullien,Sean P. Goggins Pdf

The book proposes a systematic approach to big data collection, documentation and development of analytic procedures that foster collaboration on a large scale. This approach, designated as “data factoring” emphasizes the need to think of each individual dataset developed by an individual project as part of a broader data ecosystem, easily accessible and exploitable by parties not directly involved with data collection and documentation. Furthermore, data factoring uses and encourages pre-analytic operations that add value to big data sets, especially recombining and repurposing. The book proposes a research-development agenda that can undergird an ideal data factory approach. Several programmatic chapters discuss specialized issues involved in data factoring (documentation, meta-data specification, building flexible, yet comprehensive data ontologies, usability issues involved in collaborative tools, etc.). The book also presents case studies for data factoring and processing that can lead to building better scientific collaboration and data sharing strategies and tools. Finally, the book presents the teaching utility of data factoring and the ethical and privacy concerns related to it. Chapter 9 of this book is available open access under a CC BY 4.0 license at link.springer.com

Big Data in Education: Pedagogy and Research

Theodosia Prodromou
Big Data in Education Pedagogy and Research Book PDF

Author : Theodosia Prodromou
Publisher : Springer Nature
Page : 249 pages
File Size : 40,7 Mb
Release : 2021-10-04
Category : Education
ISBN : 9783030768416

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Big Data in Education: Pedagogy and Research by Theodosia Prodromou Pdf

This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education. As Big Data becomes a common part of the fabric of our world, education and research are challenged to use this data to improve educational and research systems, and also are tasked with teaching coming generations to deal with Big Data both effectively and ethically. The Big Data era is changing the data landscape for statistical analysis, the ways in which data is captured and presented, and the necessary level of statistical literacy to analyse and interpret data for future decision making. The advent of Big Data accentuates the need to enable citizens to develop statistical skills, thinking and reasoning needed for representing, integrating and exploring complex information. This book offers guidance to researchers who are seeking suitable topics to explore. It presents research into the skills needed by data practitioners (data analysts, data managers, statisticians, and data consumers, academics), and provides insights into the statistical skills, thinking and reasoning needed by educators and researchers in the future to work with Big Data. This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications.

Advances in Big Data Analytics

Yong Shi
Advances in Big Data Analytics Book PDF

Author : Yong Shi
Publisher : Springer Nature
Page : 733 pages
File Size : 48,5 Mb
Release : 2022-01-13
Category : Computers
ISBN : 9789811636073

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Advances in Big Data Analytics by Yong Shi Pdf

Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence. /divSince each aspect mentioned above concerns a specific domain of application, taken together, the algorithms, procedures, analysis and empirical studies presented here offer a general picture of big data developments. Accordingly, the book can not only serve as a textbook for graduates with a fundamental grasp of training in big data analytics, but can also show practitioners how to use the proposed techniques to deal with real-world big data problems.