<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Stream Processing on Chen Kai Blog</title><link>https://www.chenk.top/en/tags/stream-processing/</link><description>Recent content in Stream Processing on Chen Kai Blog</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 24 Jul 2025 09:00:00 +0000</lastBuildDate><atom:link href="https://www.chenk.top/en/tags/stream-processing/index.xml" rel="self" type="application/rss+xml"/><item><title>System Design (7): Data Pipelines — Batch, Stream, and the Lambda Architecture</title><link>https://www.chenk.top/en/system-design/07-data-pipelines/</link><pubDate>Thu, 24 Jul 2025 09:00:00 +0000</pubDate><guid>https://www.chenk.top/en/system-design/07-data-pipelines/</guid><description>&lt;p>Every second, a large e-commerce platform generates thousands of data points: page views, search queries, add-to-cart events, purchases, inventory changes, price updates, and delivery status changes. This raw data is useless in its original form — scattered across dozens of services, stored in different formats, and arriving at unpredictable rates. The system that transforms this raw data into actionable insights — real-time dashboards, personalized recommendations, fraud detection alerts, business reports — is the data pipeline.&lt;/p></description></item></channel></rss>