<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Streams on Commentary of Takao</title><link>https://takao.blog/ko/tags/streams/</link><description>Recent content in Streams on Commentary of Takao</description><generator>Hugo -- gohugo.io</generator><language>ko</language><copyright>Commentary of Takao</copyright><lastBuildDate>Sun, 12 Jul 2026 04:12:51 +0900</lastBuildDate><atom:link href="https://takao.blog/ko/tags/streams/index.xml" rel="self" type="application/rss+xml"/><item><title>Node.js Streams: Practical Guide for Data Processing</title><link>https://takao.blog/ko/web/nodejs-streams/</link><pubDate>Wed, 20 Dec 2023 00:00:00 +0900</pubDate><guid>https://takao.blog/ko/web/nodejs-streams/</guid><description>&lt;img src="https://takao.blog/img/thumbnail/nodejs-streams-ko.png" alt="Featured image of post Node.js Streams: Practical Guide for Data Processing" /&gt;&lt;p&gt;Node.js streams are one of the most powerful yet underutilized 기능 of the platform. They enable processing data piece by piece as it arrives, rather than loading entire datasets into memory. This makes them essential for working with large files, 네트워크 communication, and real-time data transformation. This 가이드 covers stream fundamentals and practical patterns for building robust data pipelines.&lt;/p&gt;
&lt;h2 id="understanding-stream-types"&gt;Understanding Stream Types
&lt;/h2&gt;&lt;p&gt;Node.js provides four fundamental stream types, each serving a distinct role in data processing pipelines.&lt;/p&gt;</description></item></channel></rss>