LakeFS for Data Versioning and Governance (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"LakeFS for Data Versioning and Governance" In the rapidly evolving world of data engineering, "LakeFS for Data Versioning and Governance" presents an essential guide to mastering data version control, compliance, and governance within modern data lakes. This comprehensive book begins by exploring the fundamental shifts in data management, articulating why traditional tools fall short for today's large-scale, distributed datasets. Readers are led through the principles of data versioning, key compliance and auditability demands, and the growing complexity of enforcing governance at scale. Anch...
"LakeFS for Data Versioning and Governance" In the rapidly evolving world of data engineering, "LakeFS for Data Versioning and Governance" presents an essential guide to mastering data version control, compliance, and governance within modern data lakes. This comprehensive book begins by exploring the fundamental shifts in data management, articulating why traditional tools fall short for today's large-scale, distributed datasets. Readers are led through the principles of data versioning, key compliance and auditability demands, and the growing complexity of enforcing governance at scale. Anchored by a detailed introduction to LakeFS, the book illustrates how its architecture and operational model shape the modern data stack. Delving deep into technical implementation, the book provides actionable guidance for deploying, operating, and scaling LakeFS. Topics such as system architecture, deployment topologies, disaster recovery, integration with cloud storage and identity platforms, and security best practices form the backbone of real-world operational success. Advanced strategies for branching, tagging, experimentation, and reproducibility are thoroughly examined, alongside techniques for managing data lineage, handling large-scale commits, and optimizing storage and compute resources for ever-expanding data environments. Crucially, the book extends beyond technical mastery to address holistic data governance, privacy, and regulatory compliance. Readers will learn to construct robust policy frameworks, automate quality gates, and integrate with established data catalog and governance systems. Practical chapters outline integrating LakeFS with workflow orchestration, DataOps pipelines, and event-driven automation, while the final sections provide blueprints for extending and customizing LakeFS through APIs, SDKs, custom hooks, and plugins-all illustrated with real-world case studies. Whether you are a data engineer, architect, or governance professional, this book equips you with the patterns and practices for resilient, compliant, and future-ready data platforms.
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