The DAMA Guide to the Data Management Body of Knowledge - Print Edition
ISBN-13:
9781935504023
ISBN-10:
1935504029
Edition:
First Edition
Author:
DAMA International
Publication date:
2010
Publisher:
Technics Publications, LLC
Format:
Paperback
430 pages
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Book details
ISBN-13:
9781935504023
ISBN-10:
1935504029
Edition:
First Edition
Author:
DAMA International
Publication date:
2010
Publisher:
Technics Publications, LLC
Format:
Paperback
430 pages
Summary
The DAMA Guide to the Data Management Body of Knowledge - Print Edition (ISBN-13: 9781935504023 and ISBN-10: 1935504029), written by authors
DAMA International, was published by Technics Publications, LLC in 2010.
With an overall rating of 3.6 stars, it's a notable title among other
Management Information Systems
(Business Technology, Computer Science, Data Modeling & Design, Databases & Big Data) books. You can easily purchase or rent The DAMA Guide to the Data Management Body of Knowledge - Print Edition (Paperback) from BooksRun,
along with many other new and used
Management Information Systems
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $1.88.
Description
Written by over 120 data management practitioners, the DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) 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.
This print edition is also available in electronic PDF format on a CD (see ISBN 9780977140084).
The equivalent of the PMBOK or the BABOK, the DAMA-DMBOK provides information on:
- Data Governance
- Data Architecture Management
- Data Development
- Database Operations Management
- Data Security Management
- Reference & Master Data Management
- Data Warehousing & Business Intelligence Management
- Document & Content Management
- Meta Data Management
- Data Quality Management
- Professional Development
- To build consensus for a generally applicable view of data management functions.
- To provide standard definitions for commonly used data management functions, deliverables, roles, and other terminology.
- To document guiding principles for data management.
- To present a vendor-neutral overview to commonly accepted good practices, widely adopted methods and techniques, and significant alternative approaches.
- To clarify the scope and boundaries of data management.
- To act as a reference which guides readers to additional resources for further understanding.
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