<?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/en/tags/streams/</link><description>Recent content in Streams on Commentary of Takao</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Commentary of Takao</copyright><lastBuildDate>Sat, 13 Jun 2026 23:11:50 +0900</lastBuildDate><atom:link href="https://takao.blog/en/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/en/web/nodejs-streams/</link><pubDate>Wed, 20 Dec 2023 00:00:00 +0900</pubDate><guid>https://takao.blog/en/web/nodejs-streams/</guid><description>&lt;img src="https://takao.blog/img/thumnail.webp" 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 features 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, network communication, and real-time data transformation. This guide 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>