"Metabase Administration and Automation"
Unlock the full potential of Metabase with "Metabase Administration and Automation," a comprehensive guide for professionals seeking to master both the operational backbone and advanced automation capabilities of this powerful open-source analytics platform. Beginning with a meticulous exploration of Metabase's core architecture, query processing internals, and plugin frameworks, this book demystifies the underlying system design, providing invaluable insights into metadata management, event handling, and version control. Readers will gain a deep understanding of how Metabase connects, processes, and visualizes data at scale, laying the foundation for robust and efficient deployments.
Moving beyond fundamentals, the book offers practical expertise in enterprise-grade deployment, security management, and data source optimization. From Kubernetes-based infrastructure and disaster recovery automation to the intricacies of role-based access controls, audit logging, and identity federation, each chapter is filled with actionable strategies for scaling, monitoring, and securing Metabase in production environments. Detailed guidance on API integration, custom driver development, and orchestration with modern DevOps tools enables seamless embedded analytics, extensibility, and interoperability across heterogeneous data landscapes.
Rich with best practices compiled from global Metabase deployments and forward-looking trends in automation and governance, this book is indispensable for data engineers, administrators, and analytics leaders. Discover how to automate workflows, ensure regulatory compliance, and integrate Metabase into evolving business intelligence ecosystems. Whether you are optimizing existing infrastructure or architecting future-ready analytics platforms, "Metabase Administration and Automation" equips you to turn data into strategic advantage—securely, reliably, and at scale.
