Global Data Management
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Effective Big Data Management And Opportunities For Implementation
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Author : Singh, Manoj Kumar
language : en
Publisher: IGI Global
Release Date : 2016-06-20
Effective Big Data Management And Opportunities For Implementation written by Singh, Manoj Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-20 with Computers categories.
“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
Global Data Management
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Author : R. Baldoni
language : en
Publisher: IOS Press
Release Date : 2006-07-26
Global Data Management written by R. Baldoni and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-26 with Computers categories.
An unforeseen growth of the volume and diversity of the data, content and knowledge is being generated all over the globe. Several factors lead to this growing complexity, among them: Size (the sheer increase in the numbers of knowledge producers and users, and in their production / use capabilities); Pervasiveness (in space and time of knowledge, knowledge producers and users); Dynamicity (new and old knowledge items will appear and disappear virtually at any moment); and Unpredictability (the future dynamics of knowledge are unknown not only at design time but also at run time). The situation is made worse by the fact that the complexity of knowledge grows exponentially with the number of interconnected components. The traditional approach of knowledge management and engineering is top-down and centralised, and depends on fixing at design time what can be expressed and how. Global Data Management is playing a crucial role in the development of our networked distributed society. Its importance has been recognised in the IST programme since several years, in particular in its long-term research part, Future and Emerging Technologies (FET). Many of the papers included in this book refer to IST and FET projects currently running or recently completed.
Modern Data Strategy
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Author : Mike Fleckenstein
language : en
Publisher: Springer
Release Date : 2019-06-06
Modern Data Strategy written by Mike Fleckenstein and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-06 with Computers categories.
This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.
Effective Data Management For Schools
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Author : David Willows
language : en
Publisher: John Catt Educational Ltd
Release Date : 2012
Effective Data Management For Schools written by David Willows and has been published by John Catt Educational Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with School management and organization categories.
A Primer In Financial Data Management
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Author : Martijn Groot
language : en
Publisher: Academic Press
Release Date : 2017-05-10
A Primer In Financial Data Management written by Martijn Groot and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Technology & Engineering categories.
A Primer in Financial Data Management describes concepts and methods, considering financial data management, not as a technological challenge, but as a key asset that underpins effective business management. This broad survey of data management in financial services discusses the data and process needs from the business user, client and regulatory perspectives. Its non-technical descriptions and insights can be used by readers with diverse interests across the financial services industry. The need has never been greater for skills, systems, and methodologies to manage information in financial markets. The volume of data, the diversity of sources, and the power of the tools to process it massively increased. Demands from business, customers, and regulators on transparency, safety, and above all, timely availability of high quality information for decision-making and reporting have grown in tandem, making this book a must read for those working in, or interested in, financial management. Focuses on ways information management can fuel financial institutions’ processes, including regulatory reporting, trade lifecycle management, and customer interaction Covers recent regulatory and technological developments and their implications for optimal financial information management Views data management from a supply chain perspective and discusses challenges and opportunities, including big data technologies and regulatory scrutiny
Master Data Management And Customer Data Integration For A Global Enterprise
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Author : Alex Berson
language : en
Publisher: McGraw Hill Professional
Release Date : 2007-05-22
Master Data Management And Customer Data Integration For A Global Enterprise written by Alex Berson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-22 with Computers categories.
Transform your business into a customer-centric enterprise Gain a complete and timely understanding of your customers using MDM-CDI and the real-world information contained in this comprehensive volume. Master Data Management and Customer Data Integration for a Global Enterprise explains how to grow revenue, reduce administrative costs, and improve client retention by adopting a customer-focused business framework. Learn to build and use customer hubs and associated technologies, secure and protect confidential corporate and customer information, provide personalized services, and set up an effective data governance team. You'll also get full details on regulatory compliance and the latest pre-packaged MDM-CDI software solutions. Design and implement a dynamic MDM-CDI architecture that fits the needs of your business Implement MDM-CDI holistically as an integrated multi-disciplinary set of technologies, services, and processes Improve solution agility and flexibility using SOA and Web services Recognize customers and their relationships with the enterprise across channels and lines of business Ensure compliance with local, state, federal, and international regulations Deploy network, perimeter, platform, application, data, and user-level security Protect against identity and data theft, worm infection, and phishing and pharming scams Create an Enterprise Information Governance Group Perform development, QA, and business acceptance testing and data verification
Enterprise Master Data Management
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Author : Allen Dreibelbis
language : en
Publisher: IBM Press
Release Date : 2008
Enterprise Master Data Management written by Allen Dreibelbis and has been published by IBM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computer architecture categories.
About the authors -- Introducing master data management -- MDM as an SOA enabler -- MDM reference architecture -- MDM security and privacy -- MDM architecture patterns -- PIM-MDM solution blueprints -- CdI-MDM solution blueprints -- MDM integration blueprints -- Master data management and data governance -- MDM user roles -- Software and solution offerings for MDM deployments -- Compliance -- Standards
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.
The U S Global Change Data And Information Management Program Plan
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Author : United States. Interagency Working Group on Data Management for Global Change
language : en
Publisher:
Release Date : 1992
The U S Global Change Data And Information Management Program Plan written by United States. Interagency Working Group on Data Management for Global Change and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Climatic changes categories.
Big Data Management Technologies And Applications
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Author : Hu, Wen-Chen
language : en
Publisher: IGI Global
Release Date : 2013-10-31
Big Data Management Technologies And Applications written by Hu, Wen-Chen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-31 with Computers categories.
"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--Provided by publisher.