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The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective;
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This book contains practical steps business users can take to implement data management in a number of ways, including data governance;
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Effective and efficient data management is vital to today's applications. Traditional data management mainly focuses on information;
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Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools;
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Written by over 120 data management practitioners, the DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) is the most;
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management, caching and replication, cloud computing, content management, crowdsourcing data and information quality, data management for mobile and;
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Data is a valuable corporate asset and its effective management can be vital to an organisation's success. This professional guide covers;
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of Site Environmental Data begins with an overview of site data management concepts, then progresses through relational data management theory;
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Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management;
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Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners;
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This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and;
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submissions. The papers cover the following topics: big data management, indexing and query processing, graph data management, spatio-temporal data;
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Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its;
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Now in a completely updated and revised Fourth Edition, this highly readable book emphasizes the core data management skills needed to;
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In this book, the authors discuss the new technologies and challenges of data security, data mining and data management. Topics include;
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Published in 1992. The author sets out the main issues in Data Management, from the first principles of meta modelling and data description;
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Published in 1992. The author sets out the main issues in Data Management, from the first principles of meta modelling and data description;
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Written by over 120 data management practitioners, this compilation of data management principals and best practices provides data;
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This professional reference guide explains not only the importance of data management and how it can be managed, but the issues facing;
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This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and;
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This book constitutes the thoroughly refereed proceedings of the 6th International Conference on Data Management Technologies and;
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This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the;
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major functionality including policy creation, legal case management, data archiving, and more. Whether you're on SAP S/4HANA, SAP S/4HANA Cloud;
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, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and;
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, data governance expert Sunil Soares reviews the Enterprise Data Management (EDM) reference architecture and discusses key data governance tasks;
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This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held;
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Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric;
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