DAMA-DMBOK

DAMA-DMBOK: data management body of knowledge

by Earley, Susan Henderson, Deborah

Type Book
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This guide provides information on data governance, data architecture, data development, database operations, data security, reference and master data, data warehousing and business intelligence, document and content management, meta data management, data quality and professional development. 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

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Title Statements

  • Full title :DAMA-DMBOK : data management body of knowledge / DAMA International ; senior editor, Deborah Henderson ; editor, Susan Earley ; production editor, Laura Sebastian-Coleman ; bibliography researcher, Elena Sykora ; collaboration tool manager, Eva Smith

Summary

This guide provides information on data governance, data architecture, data development, database operations, data security, reference and master data, data warehousing and business intelligence, document and content management, meta data management, data quality and professional development. 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

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Edition Statements

  • Publication Date:2017
  • Edition:2. edition

Publication Statements

  • Publisher(s):Technics Publications
  • Place of Publication:Basking Ridge, New Jersey
  • Language:eng
  • Publication Date:2017

The Physical Object

  • Description:588 s. : : illustrations ; : 29 cm

Edition Identifiers

  • ISBN:1634622340, 9781634622349
  • oclc:on1346840417

Table of Contents

1 Data management; 2 Data handling ethics; 3 Data governance; 4 Data architecture; 5 Data modeling and design; 6 Data storage and operations; 7 Data security; 8 Data integration and interoperability; 9 Document and content management; 10 Reference and master data; 11 Data warehousing and business intelligence; 12 Metadata management; 13 Data quality; 14 Big data and data science; 15 Data management maturity assessment; 16 Data management organizations and role expectations; 17 Data management and organizational change management

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