"Collibra Data Quality Solutions" In the era of data-driven enterprise transformation, "Collibra Data Quality Solutions" delivers a comprehensive and authoritative guide to mastering end-to-end data quality management and governance. The book begins by establishing foundational concepts-defining data quality dimensions, ROI considerations, stewardship models, and regulatory imperatives that shape organizational approaches to trusted data. It then explores the critical interplay between governance and data quality, highlighting strategic challenges posed by modern cloud architectures and the imperatives of compliance in a complex risk landscape. Moving from foundational principles to technical execution, the book offers a deep dive into Collibra's platform architecture, profiling techniques, and advanced rule authoring methods. Readers will discover practical guidance for integrating Collibra's data quality capabilities with enterprise ecosystems, leveraging microservices, API-driven automation, validation frameworks, and tailored workflows. The author expertly covers the orchestration of data quality in analytics pipelines, metrics visualization, automated remediation, and the operationalization of business glossaries, policies, and stewardship at scale. Rich with advanced use cases and future-focused insights, "Collibra Data Quality Solutions" equips data leaders, architects, and practitioners to thrive in hybrid, multi-cloud, and federated environments. The volume addresses cutting-edge topics such as AI-driven data quality, event and IoT architectures, open standards, and ethical considerations for trusted analytics. With its blend of clarity, depth, and actionable strategies, this book is an essential resource for organizations seeking to unlock business value, ensure regulatory compliance, and achieve sustainable excellence in enterprise data quality.