<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Parsing on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/data-parsing/</link><description>Recent content in Data Parsing on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 26 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/data-parsing/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 6: Data Parsing and Structure Extraction with OpenZL</title><link>https://ai-blog.noorshomelab.dev/openzl-mastery-2026/data-parsing-and-extraction/</link><pubDate>Mon, 26 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/openzl-mastery-2026/data-parsing-and-extraction/</guid><description>&lt;h2 id="chapter-6-data-parsing-and-structure-extraction-with-openzl"&gt;Chapter 6: Data Parsing and Structure Extraction with OpenZL&lt;/h2&gt;
&lt;p&gt;Welcome back, future compression wizard! In the previous chapters, we laid the groundwork for understanding OpenZL&amp;rsquo;s philosophy and its general architecture. We learned that OpenZL isn&amp;rsquo;t just another generic compressor; it&amp;rsquo;s a &lt;em&gt;framework&lt;/em&gt; designed to understand and leverage the structure of your data. This chapter dives deep into the crucial first step of harnessing OpenZL&amp;rsquo;s power: &lt;strong&gt;data parsing and structure extraction&lt;/strong&gt;.&lt;/p&gt;</description></item></channel></rss>