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Data Management and Data Description

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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Data Management and Data Description

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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Big Data Analytics (Database Management Systems)

and visualization of data. This book presents in-depth description of various dimensions of big data analysis like complexity and variability;

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Modeling and Management of Fuzzy Semantic RDF Data

This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data;

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Database Management Systems

DATABASE MANAGEMENT SYSTEMS has become necessary tool for managing and storing data. The book provides an up-to-date coverage of the;

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Web Data Management

personal computers to smartphones and websites. As a consequence, data management concepts, methods and techniques are increasingly focused on;

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DAMA-DMBOK

The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective;

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Modern Data Strategy

, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how;

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Developing Econometrics

that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It;

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Healthcare Data Analytics and Management

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools;

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Statistical Methods for Fuzzy Data

. * Explores areas such quantitative description of data uncertainty and mathematical description of fuzzy data. This work is aimed at statisticians;

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Web Age Information Management

management, caching and replication, cloud computing, content management, crowdsourcing data and information quality, data management for mobile and;

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Data Management in the Semantic Web

Effective and efficient data management is vital to today's applications. Traditional data management mainly focuses on information;

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Managing Data Quality

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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Data Security, Data Mining & Data Management

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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SAP Netweaver Master Data Management

management of master data. In addition, you ll uncover the concepts and business-related requirements of master data management as well as best;

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Meeting the Challenges of Data Quality Management

Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its;

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Big Data Management

, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and;

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DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK)

impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives;

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Principles of Data Management

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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Relational Management and Display of Site Environmental Data

, the design of the database tool, and implementing a data management system. It includes detailed information on data output including mapping;

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Data Management Technologies and Applications

This book constitutes the thoroughly refereed proceedings of the 7th International Conference on Data Management Technologies and;

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Data Management Technologies and Applications

This book constitutes the thoroughly refereed proceedings of the 6th International Conference on Data Management Technologies and;

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Multi-Domain Master Data Management

Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners;

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Data Management

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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Data Management Technologies and Applications

This book constitutes the thoroughly refereed proceedings of the 8th International Conference on Data Management Technologies and;

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Data Governance Tools

, data governance expert Sunil Soares reviews the Enterprise Data Management (EDM) reference architecture and discusses key data governance tasks;

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