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Principles of Data Management

focused, providing the knowledge and techniques required to successfully implement a data management function. 'Principles of Data Management;

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DAMA-DMBOK

together materials that comprehensively describe the challenges of data management and how to meet them by: • Defining a set of guiding principles;

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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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The Open Handbook of Linguistic Data Management

"This handbook contains principles and methods for the management, archiving, sharing, and citing of linguistic research data-especially;

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The Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members;

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The Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members;

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Data Architecture

Data Architecture: From Zen to Reality explains the principles underlying data architecture, how data evolves with organizations, and;

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Environmental Data Management at NOAA

stomach contents of fish - and a large number of users present NOAA with substantial data management challenges. NOAA asked the National Research;

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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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Spatial Database Systems

explanation of the guiding principles, methods, implementation and operational management of spatial databases within the workplace. The text explains;

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Data Requirements for Integrated Urban Water Management

Integrated urban water management relies on data allowing us to analyse, understand and predict the behaviour of the individual water cycle;

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Data Requirements for Integrated Urban Water Management

Integrated urban water management relies on data allowing us to analyse, understand and predict the behaviour of the individual water cycle;

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Big Data Management

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main;

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Big Data Management

recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source;

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Data Privacy

The book covers data privacy in depth with respect to data mining, test data management, synthetic data generation etc. It formalizes;

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Information Security Management Principles

Security should be viewed as a management function rather than one of IT alone. Here, the authors outline the main management principles designed;

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Management of IOT Open Data Projects in Smart Cities

Management of IoT Open Data Projects in Smart Cities demonstrates a key project management methodology for the implementation of Smart;

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Accounting & Financial Management for Residential Construction, Sixth Edition

contractors provides detailed information on how an accounting system operates and the basic principles for processing financial data.;

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Principles of Data Management and Presentation

present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some;

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Principles of Data Management and Presentation

present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some;

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Data Management at Scale Best Practices for Enterprise Architecture

Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management;

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Principles of Stormwater Management

data on discharge concentrations of a variety of contaminants. The principles explained in this book will enable students, contractors;

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VLSI Modulation Circuits - Signal Processing, Data Conversion, and Power Management

techniques and the applications of VLSI modulation in signal processing, data conversion, power amplification and power management.;

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Data Lakes

repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata A supplying key information about;

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Data Stewardship for Open Science: Implementing Fair Principles

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and;

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Entity Information Life Cycle for Big Data

achieve master data management (MDM) in the era of big data. This book explains big data's impact on MDM and the critical role of entity;

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