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Dama-Dmbok: Data Management Body of Knowledge: 2nd Edition, Revised: Used
US $48.96
ApproximatelyS$ 62.86
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: Sparks, Nevada, United States
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eBay item number:285043215345
Item specifics
- Condition
- Book Title
- Dama-Dmbok: Data Management Body of Knowledge: 2nd Edition, Revis
- Publication Date
- 2017-07-04
- Edition Number
- 2
- Pages
- 590
- ISBN
- 9781634622349
About this product
Product Identifiers
Publisher
Technics Publications, LLC
ISBN-10
1634622340
ISBN-13
9781634622349
eBay Product ID (ePID)
238033427
Product Key Features
Number of Pages
626 Pages
Publication Name
Dama-Dmbok : Data Management Body of Knowledge
Language
English
Publication Year
2017
Subject
Industries / Computers & Information Technology, Data Processing, Databases / General
Type
Textbook
Subject Area
Computers, Business & Economics
Format
Trade Paperback
Dimensions
Item Weight
59.8 Oz
Item Length
11 in
Item Width
8.5 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2017-941854
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.74
Synopsis
The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management. Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that value. As our ability and desire to create and exploit data has increased, so too has the need for reliable data management practices. The second edition of DAMA International's Guide to the Data Management Body of Knowledge updates and augments the highly successful DMBOK1. An accessible, authoritative reference book written by leading thinkers in the field and extensively reviewed by DAMA members, DMBOK2 brings together materials that comprehensively describe the challenges of data management and how to meet them by: 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 Chapters include: Data Management Data Handling Ethics Data Governance Data Architecture Data Modeling and Design Data Storage and Operations Data Security Data Integration & Interoperability Document and Content Management Reference and Master Data Data Warehousing and Business Intelligence Metadata Management Data Quality Management Big Data and Data Science Data Management Maturity Assessment Data Management Organization and Role Expectations Data Management and Organizational Change Management Standardization of data management disciplines will help data management professionals perform more effectively and consistently. It will also enable organizational leaders to recognize the value and contributions of data management activities., 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.
LC Classification Number
QA76.9.D3D1524 2017
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Seller feedback (517,105)
- 3***l (93)- Feedback left by buyer.Past monthVerified purchaseAs described
- i***r (85)- Feedback left by buyer.Past monthVerified purchaseThanks!
- 0***e (417)- Feedback left by buyer.Past monthVerified purchaseExtremely fast shipping, item exactly as described, buy with Confidence!