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Data Management courseware based on CDMP Fundamentals
Bas van GilsDenise HardersIngrid Stap
出版Van Haren, 2025-03-31
主題Architecture / Project ManagementArchitecture / Codes & StandardsBusiness & Economics / GeneralBusiness & Economics / Development / Business DevelopmentBusiness & Economics / Finance / GeneralBusiness & Economics / ManagementBusiness & Economics / Sales & Selling / GeneralBusiness & Economics / TrainingBusiness & Economics / Project ManagementBusiness & Economics / OutsourcingBusiness & Economics / Corporate GovernanceComputers / Information TechnologyComputers / Programming / GeneralComputers / Software Development & Engineering / GeneralEducation / GeneralEducation / Schools / Levels / HigherEducation / ReferenceEducation / StatisticsEducation / Teaching / GeneralEducation / Teaching / Subjects / Science & TechnologyEducation / Organizations & InstitutionsEducation / Teacher Training & CertificationEducation / Vocational & TechnicalEducation / Standards (incl. Common Core)Reference / GeneralTechnology & Engineering / Project Management
ISBN94018129269789401812924
URLhttp://books.google.com.hk/books?id=2BdXEQAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋#html-body [data-pb-style=CSERAO0]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}Besides the courseware publication (ISBN: 9789401812917), you are advised to obtain the DAMA DMBOK publication (ISBN: 9781634622349). Optionally, you can use the publication Data management: a gentle introduction (ISBN: 9789401805506) as inspiration for examples and quotes about the field of data management. This material is intended to prepare participants for the CDMP exam by DAMA International. The courseware can only be ordered by partners and is based on the current version of the DAMA DMBOK. The material will be updated when new versions of DMBOK are published. DAMA DMBOK is the industry reference for data management. It is published by DAMA International and is currently in its second version. The DMBOK is developed by professionals and can be seen as a collection of best practices. The domain of data management is divided into functional areas which are discussed in terms of definitions (what is it), goals (what are we trying to achieve), steps (what are typical activities), inputs/outputs, and participating roles. Developing and sustaining an effective data management function is far from an easy task. The DMBOK framework is adopted by many organizations as the foundation for their data management function: standardized language and good practices speed up the learning process. After the training, you have an overview of the field of data management, its terminology, and current best practices.