<?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>批流一体 on 数据库工程博客</title><link>https://stdb.top/tags/%E6%89%B9%E6%B5%81%E4%B8%80%E4%BD%93/</link><description>Recent content in 批流一体 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%89%B9%E6%B5%81%E4%B8%80%E4%BD%93/index.xml" rel="self" type="application/rss+xml"/><item><title>第 3 篇：Lakehouse 的数据摄入和建模别只盯着批流一体</title><link>https://stdb.top/lakehouse-series/lakehouse-ingestion-and-modeling/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://stdb.top/lakehouse-series/lakehouse-ingestion-and-modeling/</guid><description>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。</description></item></channel></rss>