<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Apache Iceberg on PlumePHP</title><link>https://plumephp.com/tags/apache-iceberg/</link><description>Recent content in Apache Iceberg on PlumePHP</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Sun, 27 Sep 2026 11:00:00 +0800</lastBuildDate><atom:link href="https://plumephp.com/tags/apache-iceberg/index.xml" rel="self" type="application/rss+xml"/><item><title>湖仓一体架构：Iceberg、Delta Lake 与 Hudi 的统一数据底座</title><link>https://plumephp.com/data-lakehouse-architecture/</link><pubDate>Sun, 27 Sep 2026 11:00:00 +0800</pubDate><guid>https://plumephp.com/data-lakehouse-architecture/</guid><description>&lt;h2 id="引言"&gt;引言&lt;/h2&gt;
&lt;p&gt;过去十年，&amp;ldquo;数据湖&amp;quot;与&amp;quot;数据仓库&amp;quot;被当作两种对立的哲学：湖强调低成本、Schema-On-Read 与弹性存储，仓强调可靠性、ACID 与治理。湖仓一体（Lakehouse）则试图兼得两者——在低成本对象存储之上，用一层&lt;strong&gt;开放表格式&lt;/strong&gt;（Open Table Format）带来事务、Schema 演化、时间旅行与增量读取能力。以 Apache Iceberg、Delta Lake、Apache Hudi 为代表的表格式，已经成为现代数据平台的标准底座。本文将系统拆解湖仓架构的选型逻辑、分层设计、多引擎协作与生产调优。&lt;/p&gt;</description></item></channel></rss>