New and updated chapters reflect advances in cloud-native architectures, metadata-driven automation, data privacy regulation alignment, and considerations for AI/ML data pipelines. Practical frameworks, role descriptions (including data owners, stewards, and custodians), and checklists make the DMBOK a practical handbook for building and maturing data capabilities.
Strengthened integration with other industry standards like PMBoK, ISO, and NIEM. Practical Application: Dama-dmbok 3rd Edition Pdf