"Applied Hudi Systems"
"Applied Hudi Systems" is a comprehensive and authoritative guide to architecting, operating, and optimizing Apache Hudi for modern, large-scale data lakes. The book begins with a thorough exploration of Hudi’s architectural foundations and design philosophy, clarifying core concepts such as table abstractions (Copy-on-Write vs. Merge-on-Read), metadata management, transactional guarantees, and integration with distributed storage systems like HDFS, S3, and GCS. Readers will come away with a deep understanding of Hudi’s unique approach to reliable data storage, time-travel queries, and its positioning relative to other leading lakehouse formats.
The book progresses from foundational principles to advanced engineering, covering high-throughput data ingestion using real-time and micro-batch pipelines, mutation management (upserts, deletes), data validation, and change data capture integration. Practical chapters on query processing, indexing, partitioning, clustering, and fine-grained performance tuning provide real-world strategies for achieving scalable, low-latency analytics. Detailed treatments of storage layout, compaction, lifecycle management, and cost optimization empower practitioners to build resilient and efficient Hudi-based architectures suitable for petabyte-scale deployments.
Recognizing the demands of enterprise data platforms, "Applied Hudi Systems" addresses mission-critical topics such as security, governance, auditing, multi-tenancy, and disaster recovery. Readers will find comprehensive guidance on monitoring, telemetry, alerting, resource management, and extensibility with today’s data ecosystem tools (e.g., Spark, Trino, Airflow, Prometheus). The book culminates with best practices, operational playbooks, benchmark results, and in-depth case studies from production Hudi environments—making it an indispensable resource for engineers, architects, and data leaders seeking to deploy robust, future-ready data lake solutions.
