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A clear guide to Data Ownership, detailing its purpose, responsibilities, and importance in governance.

A practical guide to Data Monetization, covering direct and indirect models, examples, and business impact.

A complete guide to Data Mining, covering its core tasks, importance, methods, and business use cases.

A thorough guide to Data Migration, covering methods, risks, and business benefits.

A complete guide to Data Mesh, covering its principles, benefits, and role in modern data architecture.

A practical guide to Data Marts and their role in improving analytics performance and accessibility.