Professor Bian Haoqiong presents Retina, a new table format layer bringing row-level cross-table MVCC to lakehouses, achieving 10ms data freshness with only 5% query overhead by rethinking transaction replay, visibility, and compaction.
This article explains Apache Hudi's architecture, including its timeline mechanism, file layout, indexing strategies, table types (COW and MOR), query options, storage format versioning, backward compatibility, and key configuration settings for managing data lake tables.
This interview with NetEase data‑lake technology manager Ma Jin explains the distinction between data lakes and lakehouses, reviews the evolution of table‑format technologies such as Iceberg, Hudi and Delta Lake, evaluates feature maturity and performance trade‑offs, and discusses systematic versus non‑systematic adoption in enterprises.
This article compares the design goals, data‑lake table formats—Hudi, Iceberg, and Delta—highlighting their common reliance on meta files and their distinct strengths for upserts, analytics, and unified streaming‑batch processing in modern big‑data environments.
