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The Data Revolution

Author : Rob Kitchin
Publisher : SAGE
ISBN 13 : 1473908264
Total Pages : 241 pages
Book Rating : 4.4/5 (739 download)

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Book Synopsis The Data Revolution by : Rob Kitchin

Download or read book The Data Revolution written by Rob Kitchin and published by SAGE. This book was released on 2014-09-16 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Carefully distinguishing between big data and open data, and exploring various data infrastructures, Kitchin vividly illustrates how the data landscape is rapidly changing and calls for a revolution in how we think about data." - Evelyn Ruppert, Goldsmiths, University of London "Deconstructs the hype around the ‘data revolution’ to carefully guide us through the histories and the futures of ‘big data.’ The book skilfully engages with debates from across the humanities, social sciences, and sciences in order to produce a critical account of how data are enmeshed into enormous social, economic, and political changes that are taking place." - Mark Graham, University of Oxford Traditionally, data has been a scarce commodity which, given its value, has been either jealously guarded or expensively traded. In recent years, technological developments and political lobbying have turned this position on its head. Data now flow as a deep and wide torrent, are low in cost and supported by robust infrastructures, and are increasingly open and accessible. A data revolution is underway, one that is already reshaping how knowledge is produced, business conducted, and governance enacted, as well as raising many questions concerning surveillance, privacy, security, profiling, social sorting, and intellectual property rights. In contrast to the hype and hubris of much media and business coverage, The Data Revolution provides a synoptic and critical analysis of the emerging data landscape. Accessible in style, the book provides: A synoptic overview of big data, open data and data infrastructures An introduction to thinking conceptually about data, data infrastructures, data analytics and data markets Acritical discussion of the technical shortcomings and the social, political and ethical consequences of the data revolution An analysis of the implications of the data revolution to academic, business and government practices

The Data Revolution

Author : Rob Kitchin
Publisher : SAGE
ISBN 13 : 1529765110
Total Pages : 307 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis The Data Revolution by : Rob Kitchin

Download or read book The Data Revolution written by Rob Kitchin and published by SAGE. This book was released on 2021-09-22 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era. Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about the nature of data and the field of critical data studies overview of big data, open data and data infrastructures analysis of the utility and value of big and open data for research, business, government and civil society assessment of the concerns and risks in a data-driven world and how to prevent and mitigate them.

New Horizons for a Data-Driven Economy

Author : José María Cavanillas
Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 312 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The World of Open Data

Author : Yannis Charalabidis
Publisher : Springer
ISBN 13 : 3319908502
Total Pages : 245 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis The World of Open Data by : Yannis Charalabidis

Download or read book The World of Open Data written by Yannis Charalabidis and published by Springer. This book was released on 2018-09-21 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Elements of Big Data Value

Author : Edward Curry
Publisher : Springer Nature
ISBN 13 : 3030681769
Total Pages : 399 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis The Elements of Big Data Value by : Edward Curry

Download or read book The Elements of Big Data Value written by Edward Curry and published by Springer Nature. This book was released on 2021-08-01 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities

Author : Segall, Richard S.
Publisher : IGI Global
ISBN 13 : 1799827704
Total Pages : 237 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities by : Segall, Richard S.

Download or read book Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities written by Segall, Richard S. and published by IGI Global. This book was released on 2020-02-21 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.

The State of Open Data

Author : Davies, Tim
Publisher : African Minds
ISBN 13 : 1928331955
Total Pages : 592 pages
Book Rating : 4.9/5 (283 download)

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Book Synopsis The State of Open Data by : Davies, Tim

Download or read book The State of Open Data written by Davies, Tim and published by African Minds. This book was released on 2019-05-22 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Management

Author : Peter Ghavami
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110664321
Total Pages : 180 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Big Data Management by : Peter Ghavami

Download or read book Big Data Management written by Peter Ghavami and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-11-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data, Open Data and Data Development

Author : Jean-Louis Monino
Publisher : John Wiley & Sons
ISBN 13 : 1119285216
Total Pages : 123 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Big Data, Open Data and Data Development by : Jean-Louis Monino

Download or read book Big Data, Open Data and Data Development written by Jean-Louis Monino and published by John Wiley & Sons. This book was released on 2016-03-03 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

From Big Data to Big Profits

Author : Russell Walker
Publisher : Oxford University Press
ISBN 13 : 0190260696
Total Pages : 313 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis From Big Data to Big Profits by : Russell Walker

Download or read book From Big Data to Big Profits written by Russell Walker and published by Oxford University Press. This book was released on 2015-07-01 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will have implications for both businesses and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics

Big Data for Twenty-First-Century Economic Statistics

Author : Katharine G. Abraham
Publisher : University of Chicago Press
ISBN 13 : 022680125X
Total Pages : 502 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis Big Data for Twenty-First-Century Economic Statistics by : Katharine G. Abraham

Download or read book Big Data for Twenty-First-Century Economic Statistics written by Katharine G. Abraham and published by University of Chicago Press. This book was released on 2022-03-11 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

Author : Paul Zikopoulos
Publisher : McGraw Hill Professional
ISBN 13 : 0071790543
Total Pages : 176 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by : Paul Zikopoulos

Download or read book Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data written by Paul Zikopoulos and published by McGraw Hill Professional. This book was released on 2011-10-22 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation

Author : Joel Gurin
Publisher : McGraw Hill Professional
ISBN 13 : 0071829784
Total Pages : 351 pages
Book Rating : 4.0/5 (718 download)

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Book Synopsis Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation by : Joel Gurin

Download or read book Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation written by Joel Gurin and published by McGraw Hill Professional. This book was released on 2014-01-10 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get unprecedented access to thousands of databases. It's called Open Data, and it's revolutionizing business. The business leader’s guide to using Open Data to analyze patterns and trends, manage risk, solve problems—and seize the competitive edge Two major trends—the exponential growth of digital data and an emerging culture of disclosure and transparency—have converged to create a world where voluminous information about businesses, government, and the population is becoming visible, accessible, and usable. It’s called Open Data, and this book helps leaders harness its power to market and grow their companies. Open Data Now gives you the knowledge and tools to take advantage of this phenomenon in its early stages—and beat the competition to leveraging its many benefits. Joel Gurin is an expert on making complex data sets useful in solving consumer problems, analyzing corporate information, and addressing social issues. He has collaborated with leaders in data, technology, and policy in the U.S. and UK governments, including officials in the White House and 10 Downing Street and at more than 20 U.S. federal agencies.

Bigger Than You: Big Data and Obesity

Author : Katherine Behar
Publisher : punctum books
ISBN 13 : 0692652833
Total Pages : 72 pages
Book Rating : 4.6/5 (926 download)

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Book Synopsis Bigger Than You: Big Data and Obesity by : Katherine Behar

Download or read book Bigger Than You: Big Data and Obesity written by Katherine Behar and published by punctum books. This book was released on 2016 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I shall consider human actions and appetites just as if it were a question of lines, planes, and bodies." -Spinoza, in Ethics In her first inquiry toward decelerationist aesthetics, Katherine Behar explores the rise of two "big deal" contemporary phenomena, big data and obesity. In both, scale rearticulates the human as a diffuse informational pattern, causing important shifts in political form as well as aesthetic form. Bigness redraws relationships between the singular and the collective. Understood as informational patterns, collectives can be radically inclusive, even incorporating nonhumans. As a result, the political subject is slowly becoming a new object. This social and informational body belongs to no single individual, but is shared in solidarity with something "bigger than you." In decelerationist aesthetics, the aesthetic properties, proclivities, and performances of objects come to defy the accelerationist imperative to be nimbly individuated. Decelerationist aesthetics rejects atomistic, liberal, humanist subjects; this unit of self is too consonant with capitalist relations and functions. Instead, decelerationist aesthetics favors transhuman sociality embodied in particulate, mattered objects; the aesthetic form of such objects resists capitalist speed and immediacy by taking back and taking up space and time. In just this way, big data calls into question the conventions by which humans are defined as discrete entities, and individual scales of agency are made to form central binding pillars of social existence through which bodies are drawn into relations of power and pathos.

Big Data: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1466698411
Total Pages : 2523 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Big Data: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Big Data: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-04-20 with total page 2523 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

Big Data

Author : Nasir Raheem
Publisher : CRC Press
ISBN 13 : 0429590512
Total Pages : 185 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Big Data by : Nasir Raheem

Download or read book Big Data written by Nasir Raheem and published by CRC Press. This book was released on 2019-02-21 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the ‘What’, ‘How’, and ‘Why’ of Big Data. Features Identifies the primary drivers of Big Data Walks readers through the theory, methods and technology of Big Data Explains how to handle the 4 V’s of Big Data in order to extract value for better business decision making Shows how and why data connectors are critical and necessary for Agile text analytics Includes in-depth tutorials to perform necessary set-ups, installation, configuration and execution of important tasks Explains the command line as well as GUI interface to a powerful data exchange tool between Hadoop and legacy r-dbms databases

Open Data White Paper

Author : Great Britain. Cabinet Office
Publisher : The Stationery Office
ISBN 13 : 9780101835329
Total Pages : 56 pages
Book Rating : 4.8/5 (353 download)

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Book Synopsis Open Data White Paper by : Great Britain. Cabinet Office

Download or read book Open Data White Paper written by Great Britain. Cabinet Office and published by The Stationery Office. This book was released on 2012 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: This White Paper sets out clearly how the UK will continue to unlock and seize the benefits of data sharing in the future in a responsible way. Firstly by ensuring equality in access to data; secondly in building greater trust in public data; and thirdly by ensuring that public services are more personalised and efficient by being smarter with the data public bodies hold. The UK is currently co-chairing the Open Government Partnership of 55 governments whose theme is 'Transparency drives prosperity' with the belief that opening up data will empower citizens, foster innovation and reform public services. It is also, therefore, about how others participate. About businesses and organisations becoming more transparent themselves and pushing data into the public domain and individuals taking that data and using it to make better decisions or press for different types of services.