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DAMA-DMBOK

Release on 20172017 by Dama International
DAMA-DMBOK

Author: Dama International

Publisher:

ISBN: 1634622340

Category: Database management

Page: 628

View: 161

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.
Database management
DAMA-DMBOK
Language: en
Pages: 628

DAMA-DMBOK

Authors: Dama International
Categories: Database management
Type: BOOK - Published: 2017 - Publisher:

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
The DAMA Guide to the Data Management Body of Knowledge
Language: en
Pages: 406

The DAMA Guide to the Data Management Body of Knowledge

Authors: Susan Earley
Categories: Computers
Type: BOOK - Published: 2010-01-01 - Publisher: Technics Publications Llc

Written by over 120 data management practitioners, this is the most impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure. The equivalent of
The DAMA Guide to the Data Management Body of Knowledge
Language: en
Pages: 406

The DAMA Guide to the Data Management Body of Knowledge

Authors: DAMA International
Categories: Computers
Type: BOOK - Published: 2009-04 - Publisher: Technics Publications Llc

This is the definitive introduction to the field of data management. Use this guide to build consensus, introduce standard definitions, and identify guiding principles for data management gement functions, roles, and deliverables. DAMA-DMBOK references the DAMA Dictionary of Data Management. Under the umbrella and support of the non-profit association DAMA
COBIT 5: Enabling Information
Language: en
Pages: 90

COBIT 5: Enabling Information

Authors: ISACA
Categories: Business enterprises
Type: BOOK - Published: 2013-10-10 - Publisher: ISACA

Books about COBIT 5: Enabling Information
Corporate Data Quality
Language: en
Pages: 310

Corporate Data Quality

Authors: Boris Otto, Hubert Österle
Categories: Business & Economics
Type: BOOK - Published: 2015-12-08 - Publisher: epubli

Data is the foundation of the digital economy. Industry 4.0 and digital services are producing so far unknown quantities of data and make new business models possible. Under these circumstances, data quality has become the critical factor for success. This book presents a holistic approach for data quality management and

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