Lakehouse on 数据库工程博客https://stdb.top/tags/lakehouse/Recent content in Lakehouse on 数据库工程博客Hugozh-cnSun, 05 Apr 2026 00:00:00 +0000Lakehouse 系列总览https://stdb.top/lakehouse-series/lakehouse-series-overview/Sun, 05 Apr 2026 00:00:00 +0000https://stdb.top/lakehouse-series/lakehouse-series-overview/先理解 lakehouse 到底解决什么问题，再进入表格式、摄入链路、计算成本和治理等具体主题。第 1 篇：Lakehouse 到底在解决什么问题https://stdb.top/lakehouse-series/what-lakehouse-solves/Sun, 05 Apr 2026 00:00:00 +0000https://stdb.top/lakehouse-series/what-lakehouse-solves/从平台边界而不是产品名词的角度理解 lakehouse，避免把它误当成“更便宜的数据仓库”。第 2 篇：Iceberg、Delta Lake、Hudi 该怎么看https://stdb.top/lakehouse-series/lakehouse-table-format-selection/Sun, 05 Apr 2026 00:00:00 +0000https://stdb.top/lakehouse-series/lakehouse-table-format-selection/从写入模式、读写并发、元数据管理和引擎兼容性四个角度讨论 lakehouse 表格式选择。第 3 篇：Lakehouse 的数据摄入和建模别只盯着批流一体https://stdb.top/lakehouse-series/lakehouse-ingestion-and-modeling/Sun, 05 Apr 2026 00:00:00 +0000https://stdb.top/lakehouse-series/lakehouse-ingestion-and-modeling/从原始层、清洗层到消费层拆解 lakehouse 数据摄入与建模，避免把所有复杂度都压给一个统一作业。第 4 篇：Lakehouse 成本问题往往不在存储https://stdb.top/lakehouse-series/lakehouse-compute-and-cost/Sun, 05 Apr 2026 00:00:00 +0000https://stdb.top/lakehouse-series/lakehouse-compute-and-cost/从扫描量、文件组织、引擎并发和治理边界四方面分析 lakehouse 的成本控制。第 5 篇：Lakehouse 真正上线，卡在治理而不是查询引擎https://stdb.top/lakehouse-series/lakehouse-governance-and-production/Sun, 05 Apr 2026 00:00:00 +0000https://stdb.top/lakehouse-series/lakehouse-governance-and-production/从权限、质量、血缘、责任归属和平台边界角度讨论 lakehouse 的生产化治理。