CDMP - Certified Data Management Professional || Updated ||

About this course

This course contains the use of Artificial Intelligence.|| Unofficial Course ||In today's data-driven world, organizations rely on high-quality, well-governed, and strategically managed data to make informed decisions, drive innovation, ensure compliance, and gain a competitive advantage. Effective data management has become a critical discipline for businesses of all sizes, making it one of the most valuable skills for professionals working in data, technology, analytics, governance, and business operations.This comprehensive course provides a practical and structured introduction to the core concepts, frameworks, methodologies, and best practices of modern data management. Drawing inspiration from industry-recognized principles and the DAMA-DMBOK framework, the course offers a solid foundation for understanding how organizations manage data as a strategic enterprise asset.Throughout the course, you will explore the essential principles of data management, including governance, stewardship, accountability, ethical data handling, and organizational responsibilities. You will gain a clear understanding of how effective data governance programs are established, how enterprise data architecture supports business objectives, and how governance frameworks enable organizations to maintain consistency, quality, and trust in their data assets.The course also covers the fundamentals of data modeling and database design, enabling you to understand conceptual, logical, and physical data models. You will learn industry-standard modeling techniques, normalization principles, dimensional modeling concepts, and modern approaches used in relational, object-oriented, and NoSQL environments.In addition, you will develop a strong understanding of data storage environments, database operations, data security, privacy controls, access management, and data protection strategies. These concepts are essential for ensuring that organizational

Course objectives

• to provide a structured introduction to data management
• to help learners understand how data serves as an enterprise asset
• to equip students with knowledge about governance frameworks