The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) - by Dama International (Paperback)
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<p/><br></br><p><b> About the Book </b></p></br></br>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.<p/><br></br><p><b> Book Synopsis </b></p></br></br><p><strong>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. </strong></p><p><strong>The equivalent of the PMBOK or the BABOK, the DAMA-DMBOK provides information on: </strong></p><p><strong>-Data Governance </strong></p><p><strong>-Data Architecture Management </strong></p><p><strong>-Data Development</strong></p><p><strong>-Database Operations Management</strong></p><p><strong>-Data Security Management </strong></p><p><strong>-Reference & Master Data Management</strong></p><p><strong>-Data Warehousing & Business Intelligence Management</strong></p><p><strong>-Document & Content Management </strong></p><p><strong>-Meta Data Management </strong></p><p><strong>-Data Quality Management</strong></p><p><strong>-Professional Development</strong></p><p><strong>As an authoritative introduction to data management, the goals of the DAMA-DMBOK Guide are: -To build consensus for a generally applicable view of data management functions. </strong></p><p><strong>-To provide standard definitions for commonly used data management functions, deliverables, roles, and other terminology. </strong></p><p><strong>-To document guiding principles for data management. </strong></p><p><strong>-To present a vendor-neutral overview to commonly accepted good practices, widely adopted methods and techniques, and significant alternative approaches. </strong></p><p><strong>-To clarify the scope and boundaries of data management. </strong></p><p><strong>-To act as a reference which guides readers to additional resources for further understanding.</strong></p>
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