<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>数据平台 on 数据库工程博客</title><link>https://stdb.top/tags/%E6%95%B0%E6%8D%AE%E5%B9%B3%E5%8F%B0/</link><description>Recent content in 数据平台 on 数据库工程博客</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sun, 05 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://stdb.top/tags/%E6%95%B0%E6%8D%AE%E5%B9%B3%E5%8F%B0/index.xml" rel="self" type="application/rss+xml"/><item><title>Lakehouse 系列总览</title><link>https://stdb.top/lakehouse-series/lakehouse-series-overview/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://stdb.top/lakehouse-series/lakehouse-series-overview/</guid><description>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。</description></item><item><title>第 1 篇：Lakehouse 到底在解决什么问题</title><link>https://stdb.top/lakehouse-series/what-lakehouse-solves/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://stdb.top/lakehouse-series/what-lakehouse-solves/</guid><description>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”。</description></item><item><title>第 4 篇：Lakehouse 成本问题往往不在存储</title><link>https://stdb.top/lakehouse-series/lakehouse-compute-and-cost/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://stdb.top/lakehouse-series/lakehouse-compute-and-cost/</guid><description>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。</description></item></channel></rss>