Bilibili Tech
Jun 10, 2022 · Big Data
Incremental Data Lake Design and Hudi Core Optimizations with Flink
The article describes how combining Apache Flink with Hudi enables an incremental data lake that delivers near‑real‑time analytics by switching to merge‑on‑read, fixing log handling bugs, improving compaction planning, and refactoring table‑service scheduling, while showcasing use cases such as CDC ingestion, data quality control, and real‑time materialized views, and outlines future enhancements like optimistic concurrency and unified schema evolution.
Apache HudiCDCCompaction Optimization
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