Web Data Management Practices
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Web Data Management Practices
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Author : Athena Vakali
language : en
Publisher: IGI Global
Release Date : 2007-01-01
Web Data Management Practices written by Athena Vakali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-01 with Computers categories.
"This book provides an understanding of major issues, current practices and the main ideas in the field of Web data management, helping readers to identify current and emerging issues, as well as future trends. The most important aspects are discussed: Web data mining, content management on the Web, Web applications and Web services"--Provided by publisher.
Web Data Management
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Author : Serge Abiteboul
language : en
Publisher: Cambridge University Press
Release Date : 2011-11-28
Web Data Management written by Serge Abiteboul and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-28 with Computers categories.
The Internet and World Wide Web have revolutionized access to information. Users now store information across multiple platforms from personal computers to smartphones and websites. As a consequence, data management concepts, methods and techniques are increasingly focused on distribution concerns. Now that information largely resides in the network, so do the tools that process this information. This book explains the foundations of XML with a focus on data distribution. It covers the many facets of distributed data management on the Web, such as description logics, that are already emerging in today's data integration applications and herald tomorrow's semantic Web. It also introduces the machinery used to manipulate the unprecedented amount of data collected on the Web. Several 'Putting into Practice' chapters describe detailed practical applications of the technologies and techniques. The book will serve as an introduction to the new, global, information systems for Web professionals and master's level courses.
Data Management For Social Scientists
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Author : Nils B. Weidmann
language : en
Publisher: Cambridge University Press
Release Date : 2023-03-09
Data Management For Social Scientists written by Nils B. Weidmann and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-09 with Social Science categories.
Equips social scientists with the tools and techniques to conduct quantitative research in the age of big data.
Intelligent Web Data Management Software Architectures And Emerging Technologies
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Author : Kun Ma
language : en
Publisher: Springer
Release Date : 2016-02-19
Intelligent Web Data Management Software Architectures And Emerging Technologies written by Kun Ma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-19 with Technology & Engineering categories.
This book presents some of the emerging techniques and technologies used to handle Web data management. Authors present novel software architectures and emerging technologies and then validate using experimental data and real world applications. The contents of this book are focused on four popular thematic categories of intelligent Web data management: cloud computing, social networking, monitoring and literature management. The Volume will be a valuable reference to researchers, students and practitioners in the field of Web data management, cloud computing, social networks using advanced intelligence tools.
Web Data Management Practices
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Author : Athena Vakali
language : en
Publisher: IGI Global
Release Date : 2007
Web Data Management Practices written by Athena Vakali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
New state-of-the-art techniques for analyzing and managing Web data have emerged due to the need for dealing with huge amounts of data which are circulated on the Web. Web Data Management Practices: Emerging Techniques and Technologies provides a thorough understanding of major issues, current practices, and the main ideas in the field of Web data management, helping readers to identify current and emerging issues, as well as future trends in this area. Web Data Management Practices: Emerging Techniques and Technologies presents a complete overview of important aspects related to Web data management practicing, such as: Web mining, Web data clustering, and others. This book also covers an extensive range of topics, including related issues about Web mining, Web caching and replication, Web services, and the XML standard.
Dama Dmbok
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Author : Dama International
language : en
Publisher:
Release Date : 2017
Dama Dmbok written by Dama International and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Database management categories.
Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.
Enterprise Master Data Management
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Author : Allen Dreibelbis
language : en
Publisher: Pearson Education
Release Date : 2008-06-05
Enterprise Master Data Management written by Allen Dreibelbis and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-05 with Business & Economics categories.
The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration
The Routledge Companion To Transnational Web Archive Studies
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Author : Susan Aasman
language : en
Publisher: Taylor & Francis
Release Date : 2025-04-28
The Routledge Companion To Transnational Web Archive Studies written by Susan Aasman and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Language Arts & Disciplines categories.
The Routledge Companion to Transnational Web Archive Studies explores the untapped potential of web archives for researching transnational digital history and communication. It covers cross- border, cross- collection, and cross- institutional examination of web archives on a global scale. This comprehensive collaborative work, emerging from the WARCnet research network, presents an exploration of the ways web archive research can transcend technological and legal challenges to allow for new comparative, transnational studies of the web’s pasts, and of global events. By combining interdisciplinary work and fostering collaboration between web archivists and researchers, the book provides readers with cutting- edge approaches to analyzing digital cultural heritage across countries. The book contains concrete examples on how to research national web domains through a transnational perspective; provides case studies with grounded explorations of the COVID- 19 crisis as a distinctly transnational event captured by web archives; offers methodological considerations while unpacking techniques and skill sets for conducting transnational web archive research; and critically engages the politics and power dynamics inherent to web archives as institutionalised collections. The Routledge Companion to Transnational Web Archive Studies is an essential read for graduate students and scholars from internet and media studies, cultural studies, history, and digital humanities. It will also appeal to web archiving practitioners, including librarians, web curators, and IT developers.
Managing And Mining Multimedia Databases
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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2001-06-28
Managing And Mining Multimedia Databases written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-28 with Computers categories.
There is now so much data on the Web that managing it with conventional tools is becoming almost impossible. To manage this data, provide interoperability and warehousing between multiple data sources and systems, and extract information from the databases and warehouses, various tools are being developed. In fact, developments in multimedia databa
Fast And Scalable Cloud Data Management
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Author : Felix Gessert
language : en
Publisher: Springer Nature
Release Date : 2020-05-15
Fast And Scalable Cloud Data Management written by Felix Gessert and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-15 with Computers categories.
The unprecedented scale at which data is both produced and consumed today has generated a large demand for scalable data management solutions facilitating fast access from all over the world. As one consequence, a plethora of non-relational, distributed NoSQL database systems have risen in recent years and today’s data management system landscape has thus become somewhat hard to overlook. As another consequence, complex polyglot designs and elaborate schemes for data distribution and delivery have become the norm for building applications that connect users and organizations across the globe – but choosing the right combination of systems for a given use case has become increasingly difficult as well. To help practitioners stay on top of that challenge, this book presents a comprehensive overview and classification of the current system landscape in cloud data management as well as a survey of the state-of-the-art approaches for efficient data distribution and delivery to end-user devices. The topics covered thus range from NoSQL storage systems and polyglot architectures (backend) over distributed transactions and Web caching (network) to data access and rendering performance in the client (end-user). By distinguishing popular data management systems by data model, consistency guarantees, and other dimensions of interest, this book provides an abstract framework for reasoning about the overall design space and the individual positions claimed by each of the systems therein. Building on this classification, this book further presents an application-driven decision guidance tool that breaks the process of choosing a set of viable system candidates for a given application scenario down into a straightforward decision tree.