Bidirectional Collaborative Data Management
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Bidirectional Collaborative Data Management
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Author : Zhenjiang Hu
language : en
Publisher: Springer Nature
Release Date : 2024-12-11
Bidirectional Collaborative Data Management written by Zhenjiang Hu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Computers categories.
This book summarizes the results of solving the two issues from a 5-year national project in Japan, called Bidirectional Information Systems for Collaborative, Updatable, Interoperable, and Trusted Sharing (BISCUITS) since 2017, with researchers from the National Institute of Informatics, Osaka University, Kyoto University, Nanzan University, Hosei University, Tohoku University, and University of Tokyo. It provides a big picture of the research results, insights, and the new perspectives achieved during the project, paving the way for future further investigation. Along with the continuous evolution of data management systems for the new market requirements, we are moving from centralized systems, which had often led to vast and monolithic databases, toward decentralized systems, where data are maintained in different sites with autonomous storage and computation capabilities. A common practice is the collaboration or acquisition of companies: there is a large demand for different systems to be connected to provide valuable services to users, yet each company has its own goal and often builds its own applications and database systems independently without federating with others. As a result, we need to construct a decentralized system by integrating the independently built databases through schema matching, data transformation, and update propagation from one database to another. There are two fundamental issues with such decentralized systems, local privacy and global consistency. By local privacy, the owner of the data stored on a site may wish to control and share data by deciding what information should be exposed and how its information should be used and updated by other systems. By global consistency, the systems may wish to have a globally consistent view of all data, integrate data from different sites, perform analysis through queries, and update the integrated data.
Bidirectional Collaborative Data Management
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Author : Zhenjiang Hu
language : en
Publisher: Springer
Release Date : 2024-11-01
Bidirectional Collaborative Data Management written by Zhenjiang Hu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-01 with Computers categories.
This book summarizes the results of solving the two issues from a 5-year national project in Japan, called Bidirectional Information Systems for Collaborative, Updatable, Interoperable, and Trusted Sharing (BISCUITS) since 2017, with researchers from the National Institute of Informatics, Osaka University, Kyoto University, Nanzan University, Hosei University, Tohoku University, and University of Tokyo. It provides a big picture of the research results, insights, and the new perspectives achieved during the project, paving the way for future further investigation. Along with the continuous evolution of data management systems for the new market requirements, we are moving from centralized systems, which had often led to vast and monolithic databases, toward decentralized systems, where data are maintained in different sites with autonomous storage and computation capabilities. A common practice is the collaboration or acquisition of companies: there is a large demand for different systems to be connected to provide valuable services to users, yet each company has its own goal and often builds its own applications and database systems independently without federating with others. As a result, we need to construct a decentralized system by integrating the independently built databases through schema matching, data transformation, and update propagation from one database to another. There are two fundamental issues with such decentralized systems, local privacy and global consistency. By local privacy, the owner of the data stored on a site may wish to control and share data by deciding what information should be exposed and how its information should be used and updated by other systems. By global consistency, the systems may wish to have a globally consistent view of all data, integrate data from different sites, perform analysis through queries, and update the integrated data.
Software Foundations For Data Interoperability
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Author : George Fletcher
language : en
Publisher: Springer Nature
Release Date : 2022-01-19
Software Foundations For Data Interoperability written by George Fletcher and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-19 with Computers categories.
This book constitutes selected papers presented at the 5th International Workshop on Software Foundations for Data Interoperability, SFDI 2021, held in Copenhagen, Denmark, in August 2021. The 4 full papers and one short paper were thorougly reviewed and selected from 8 submissions. They present discussions in research and development in software foundations for data interoperability as well as the applications in real-world systems such as data markets.
Software Foundations For Data Interoperability And Large Scale Graph Data Analytics
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Author : Lu Qin
language : en
Publisher: Springer Nature
Release Date : 2020-11-05
Software Foundations For Data Interoperability And Large Scale Graph Data Analytics written by Lu Qin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Computers categories.
This book constitutes refereed proceedings of the 4th International Workshop on Software Foundations for Data Interoperability, SFDI 2020, and 2nd International Workshop on Large Scale Graph Data Analytics, LSGDA 2020, held in Conjunction with VLDB 2020, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 full papers and 4 short papers were thoroughly reviewed and selected from 38 submissions. The volme presents original research and application papers on the development of novel graph analytics models, scalable graph analytics techniques and systems, data integration, and data exchange.
Computerworld
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Author :
language : en
Publisher:
Release Date : 2004-01-26
Computerworld written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-26 with categories.
For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
Database Management Using Ai A Comprehensive Guide
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Author : A Purushotham Reddy
language : en
Publisher: A Purushotham Reddy
Release Date : 2024-10-20
Database Management Using Ai A Comprehensive Guide written by A Purushotham Reddy and has been published by A Purushotham Reddy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-20 with Computers categories.
Database Management Using AI: The Ultimate Guide for Data Professionals Database Management Using AI: A Comprehensive Guide is an essential resource for anyone eager to explore how artificial intelligence (AI) is revolutionizing the field of database management. This book caters to a wide audience, from database administrators, data scientists, and tech enthusiasts to professionals looking to integrate AI into their data management practices. It offers a professional yet easily understandable exploration of how AI is transforming modern data systems. The guide starts by laying a solid foundation in database management fundamentals, covering key concepts such as data models, SQL, and database design principles. It then delves into how AI can optimize database performance, enhance security, and automate complex tasks like data retrieval, query optimization, and schema design. With this book, readers will gain deep insights into integrating AI with traditional database systems and how AI tools are shaping the future of data management. Unlike other books that focus purely on theory, this guide stands out by emphasizing real-world applications. Through practical case studies, it demonstrates how AI-driven database systems are being leveraged across industries such as e-commerce, healthcare, finance, and logistics. These case studies show the real-world impact of AI, helping businesses increase efficiency, reduce errors, and make smarter, data-backed decisions. The book illustrates how AI is enabling organizations to stay ahead in a competitive market by harnessing the power of intelligent database management. Throughout the guide, readers will learn about the evolution of database systems, including the shift from relational databases to modern NoSQL databases, and how AI is enhancing traditional database models to meet the demands of the digital age. The book explores how AI integration in databases is transforming how data is processed and analyzed, automating repetitive tasks and improving the scalability and performance of databases. One of the key highlights of this book is the coverage of AI in database management. Readers will learn how AI is being used to automate routine database tasks, improve security by predicting and mitigating threats, and streamline database management operations through automation. Additionally, the book delves into how AI helps in predictive analytics and data mining, uncovering hidden patterns and enabling organizations to make accurate predictions based on large volumes of data. The book also covers predictive analytics and data mining, teaching readers how AI tools can be used to extract valuable insights from data, identify trends, and uncover business opportunities that were previously hard to detect. By understanding how AI can leverage data to drive business intelligence, readers will be able to implement AI-driven solutions that improve decision-making processes. Furthermore, this guide explores the future of database management with AI. It takes a close look at emerging trends, including autonomous databases and the growing role of cloud-based AI solutions in shaping the future of data management. These innovative technologies are creating intelligent, self-managing databases that are poised to revolutionize how data is stored, processed, and analyzed. Database Management Using AI provides readers with the knowledge and practical skills needed to navigate the fast-evolving landscape of AI-powered databases. Whether you're an industry professional or a student, this book is packed with actionable insights that will keep you ahead in the digital world. It’s a must-have resource for anyone looking to understand the practical impact of AI on database systems and harness the power of machine learning, big data, and cloud computing to transform their approach to data management. With its combination of clear explanations, real-world case studies, and forward-looking insights, this book is the ultimate guide for anyone wanting to stay competitive in the digital age. Database Management Using AI is more than just a book—it's an essential tool for anyone serious about mastering the future of data systems. Refer www.latest2all.com for details...
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
System Innovation For An Artificial Intelligence Era
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Author : Artde Donald Kin-Tak Lam
language : en
Publisher: CRC Press
Release Date : 2024-11-05
System Innovation For An Artificial Intelligence Era written by Artde Donald Kin-Tak Lam and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.
System Innovation for an Artificial Intelligence Era: Applied System Innovation X contains the papers presented at the IEEE 10th International Conference on Applied System Innovation (ICASI 2024, Kyoto, Japan, 17-21 April 2024. Of the more than 600 submitted papers from 12 different countries, after review approximately a quarter was accepted for publication. The book aims to provide an integrated communication platform for researchers from a wide range of topics including information technology, communication science, applied mathematics, computer science, advanced material science, and engineering. System Innovation for an Artificial Intelligence Era: Applied System Innovation X enhances interdisciplinary collaborations between science and engineering and is aimed at academics and technologists interested in the above mentioned areas.
Urban And Regional Data Management
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Author : Massimo Rumor
language : en
Publisher: CRC Press
Release Date : 2007-10-04
Urban And Regional Data Management written by Massimo Rumor and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-04 with Technology & Engineering categories.
Spatial technologies like GIS, CAD, and spatial DBMS have proved their applicability and usability in almost every sector of urban development. Urban Planning Systems, Public Participation Systems, and others have been continuously developed and improved contributing to better decision making, communicating ideas between different actors as well as
Comprehensive Clickup Administration
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-17
Comprehensive Clickup Administration written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
"Comprehensive ClickUp Administration" "Comprehensive ClickUp Administration" is the definitive guide for enterprise administrators, solution architects, and IT leaders seeking to master the intricacies of ClickUp’s robust platform. Anchored by in-depth analyses of system architecture, permission models, and extensibility options, this book moves beyond the basics to deliver actionable insights into organizational design, security, and seamless integration. Readers are empowered to build resilient, high-performing ClickUp environments by understanding modular constructs—such as workspaces, spaces, folders, and lists—and leveraging advanced data modeling, identity management, and granular role enforcement for scalable, secure deployments. The book’s practical approach addresses both the strategic and technical dimensions of enterprise workspace management. With chapters dedicated to automated provisioning, bulk operations, regulatory compliance, and federated collaboration, it equips administrators with repeatable patterns for optimizing performance, ensuring data integrity, and maintaining operational excellence. Topics range from advanced automation engineering and custom workflow design to real-time monitoring, forensic troubleshooting, and lifecycle health checks—crucial for organizations operating at scale or in regulated industries. Finally, "Comprehensive ClickUp Administration" explores the frontier of platform evolution and strategic governance. Readers will learn how to harness ClickUp’s APIs, integration capabilities, and community resources for business intelligence, CI/CD orchestration, and ERP/CRM extensions. The book concludes by addressing platform governance, change management, and roadmap strategy—enabling organizations to maximize ClickUp’s value, drive continuous improvement, and stay ahead in collaborative work management. Whether architecting a new rollout or optimizing an existing instance, this is the essential reference for enterprise-grade ClickUp mastery.