DAMA DMBOK Data Management Body of Knowledge 2nd Edition by DAMA International (2017)

DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition (2017) by DAMA International is the definitive reference for the data management profession and the core study guide for the Certified Data Management Professional (CDMP) certification. The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management in modern organizations.Today’s organizations recognize that managing data is central to their success. They understand that data has value and they want to leverage that value — but as our ability and desire to create and exploit data has increased, so too has the need for reliable, disciplined data management practices. DMBOK2 updates and augments the highly successful DMBOK1 into an accessible, authoritative reference written by leading thinkers in the field and extensively reviewed by DAMA members worldwide.The book defines a set of guiding principles for data management and describes how these principles can be applied across eleven data management functional areas: data governance, data architecture, data modeling and design, data storage and operations, data security, data integration and interoperability, document and content management, reference and master data management, data warehousing and business intelligence, metadata management, and data quality.Topics covered in depth: data strategy and data literacy, data ethics, big data and data science, data lineage, master data management (MDM), reference data, data stewardship and data ownership, the DAMA-DMBOK Wheel framework, maturity assessment, and implementation guidance for each knowledge area.Essential for: CDMP certification candidates, data architects, data engineers, data governance professionals, data stewards, chief data officers (CDOs), business intelligence analysts, data quality managers, enterprise architects, database administrators, and anyone preparing for a career in data management or enterprise data strategy.