"Amundsen Data Discovery and Metadata Management"
"Amundsen Data Discovery and Metadata Management" offers a comprehensive exploration into the modern challenges and solutions in enterprise metadata management. The book begins by laying a robust foundation, tracing the evolution of metadata systems and emphasizing the critical roles played by technical, business, and operational metadata in today's organizations. Readers are guided through the complexities of scaling metadata platforms in cloud-native environments, the impact of open source innovation, and the urgent need for robust data discovery amidst ever-growing data landscapes.
The heart of the text delves into the architecture, deployment, and operationalization of Amundsen, a leading open-source data discovery platform. Through detailed architectural breakdowns, real-world deployment patterns, and deep dives into scalable ingestion workflows, the book equips data engineers, architects, and platform teams with actionable insights for building resilient, secure, and extensible metadata solutions. Advanced topics such as search optimization, graph-based relationship navigation, automation, and real-time metadata processing are reinforced with best practices for monitoring, logging, and maintaining platform reliability at scale.
Beyond the technical core, the book addresses the broader ecosystem needed for successful data discovery-covering governance, compliance, and user adoption strategies. Drawing on case studies, enterprise success patterns, and future directions in AI-driven metadata, "Amundsen Data Discovery and Metadata Management" serves as both a practical reference and visionary guide. Whether integrating Amundsen within the modern data stack or advancing toward semantic and federated discovery architectures, this book is an essential resource for data leaders seeking to maximize the value of their organizational knowledge assets.