{"product_id":"dama-dmbok-data-management-body-of-knowledge-2nd-edition-revised-paperback","title":"Dama-Dmbok: Data Management Body of Knowledge: 2nd Edition, Revised - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDama International\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eThe Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management. \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eToday'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.\u003c\/p\u003e\u003cp\u003eThe 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: \u003c\/p\u003e\u003cbr\u003e\u003cul\u003e\n\u003cbr\u003e \u003cli\u003e\n\u003cstrong\u003eDefining a set of guiding principles \u003c\/strong\u003efor data management and describing how these principles can be applied within data management functional areas.\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003e\n\u003cstrong\u003eProviding a functional framework\u003c\/strong\u003e for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics.\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003e\n\u003cstrong\u003eEstablishing a common vocabulary\u003c\/strong\u003e for data management concepts and serving as the basis for best practices for data management professionals.\u003c\/li\u003e\n\u003cbr\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eDAMA-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: \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cbr\u003e \u003cli\u003eData is an asset with unique properties\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eThe value of data can be and should be expressed in economic terms \u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eManaging data means managing the quality of data\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eIt takes metadata to manage data\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eIt takes planning to manage data\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData management is cross-functional and requires a range of skills and expertise\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData management requires an enterprise perspective\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData management must account for a range of perspectives\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData management is data lifecycle management\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eDifferent types of data have different lifecycle requirements\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eManaging data includes managing risks associated with data\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData management requirements must drive information technology decisions\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eEffective data management requires leadership commitment\u003c\/li\u003e\n\u003cbr\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eChapters include: \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cbr\u003e \u003cli\u003eData Management\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Handling Ethics\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Governance\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Architecture\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Modeling and Design\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Storage and Operations\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Security\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Integration \u0026amp; Interoperability\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eDocument and Content Management\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eReference and Master Data\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Warehousing and Business Intelligence\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eMetadata Management\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Quality Management\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eBig Data and Data Science\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Management Maturity Assessment\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Management Organization and Role Expectations\u003c\/li\u003e\n\u003cbr\u003e \u003cli\u003eData Management and Organizational Change Management\u003c\/li\u003e\n\u003cbr\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eStandardization 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 590\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.4 x 10.8 x 8.4 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 04, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":45176754929743,"sku":"9781634622349","price":91.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0638\/8328\/0463\/files\/RjJmTHNrL2VwUGR5Uk40c2o3OFllUT09.webp?v=1778198276","url":"https:\/\/easonbooks.com\/products\/dama-dmbok-data-management-body-of-knowledge-2nd-edition-revised-paperback","provider":"EasonBooks","version":"1.0","type":"link"}