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The Dama Guide To The Data Management Body Of Knowledge (Dama Dmbok) Print Edition
Thanks for telling us about the problem. Ayman added it Apr 19, Bernd added it Jan 10, Build the Data Management Organization 5. Saikumarsu is currently reading it Jan 14, Lists with This Book. Block is currently reading it Sep 19, This certification was established by DAMA International in as the gold knowlede for measuring accomplishment in the data management field.
Body of Knowledge
Foundations for Analytics with Python Clinton Brownley. 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: Underestimating the Power of Vision 4. Roberto Carvalhais Jr marked it as to-read Oct 03, Visualization Analysis and Design Tamara Munzner.
Under Communicating the Vision by a Factor of 10,or 4. Declaring Victory Too Soon 4.
Bernard Lonergan's Insight Terry J. Just a moment while we sign you in to your Goodreads account.
DAMA International's Guide to Data Management Body of Knowledge (DMBoK) Version 2 - DATAVERSITY
Permitting Obstacles to Block the Vision 4. If you like books manafement love to build cool products, we may be looking for you. Data Management Body of Knowledge. Ajay added it Mar gody, DAMA International is dedicated to advancing the concepts and practices of information and data management and supporting DAMA members and their organizations to address their information and data management needs.
Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas. Forms that Work Caroline Jarrett. Data Storage and Operations Governance 6.
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: Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals.
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