DAMA-DMBOK: Data Management Body of Knowledge 2nd Edition (ISBN 9781634622349) is a professional’s reference to mastering best practices in the industry. This in-depth reference provides a systematic approach to data governance, data architecture, data quality, and a range of other important disciplines and thus constitutes a must-have for data management professionals.

DAMA Data Management Body of Knowledge 2nd Edition tackles fundamental principles and sophisticated techniques to empower achieve data excellence. It offers a standard framework for managing data as a business asset to ensure consistency and effectiveness across industries. You can be a data analyst, architect or executive and this edition offers valuable insights to lead you through shifting data environments.

Data Management Body of Knowledge 2nd Edition (9781634622349) provides real-world examples and best practices With in depth chapters in data modeling, metadata management, integration and master data management. The new edition features expanded coverage of emerging trends like big data, data ethics, and data privacy legislation to keep you abreast of what’s new in the industry.

Organizations around the world utilize DAMA’s Data Management Body of Knowledge 2nd Edition (DMBOK) to craft effective data strategies and maintain regulatory compliance. This publication has a methodical approach and therefore can be read by beginners and practitioners alike who would like to enhance their knowledge. It has been adopted as a standard globally and acts as a foundation reference for those who would like to prepare for CDMP (Certified Data Management Professional) certification.

To professionals who want to implement successful data management solutions, a must-have is the Data Management Body of Knowledge 2nd Edition (ISBN 9781634622349). With clear guidance and in-depth coverage of data management disciplines, it’s a valuable addition to your professional library. Buy your copy now and build the skills you require to achieve success with your business’s data.