<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data Schema on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/data-schema/</link><description>Recent content in Data Schema 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-schema/index.xml" rel="self" type="application/rss+xml"/><item><title>Defining Data Schemas with OpenZL</title><link>https://ai-blog.noorshomelab.dev/openzl-mastery-2026/defining-data-schemas-openzl/</link><pubDate>Mon, 26 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/openzl-mastery-2026/defining-data-schemas-openzl/</guid><description>&lt;h2 id="introduction-to-data-schemas-in-openzl"&gt;Introduction to Data Schemas in OpenZL&lt;/h2&gt;
&lt;p&gt;Welcome back, future compression wizard! In our previous chapters, we introduced OpenZL as a revolutionary, format-aware compression framework. We learned that unlike traditional compressors that treat data as a generic byte stream, OpenZL thrives on understanding the &lt;em&gt;structure&lt;/em&gt; of your data. But how exactly do we tell OpenZL what our data looks like? That&amp;rsquo;s precisely what this chapter is all about!&lt;/p&gt;
&lt;p&gt;Here, we&amp;rsquo;ll dive deep into defining data schemas with OpenZL. You&amp;rsquo;ll learn why describing your data&amp;rsquo;s structure is paramount for OpenZL&amp;rsquo;s efficiency, explore the core concepts behind this &amp;ldquo;data description,&amp;rdquo; and walk through practical examples to build your first OpenZL-compatible schema. Get ready to unlock the true power of structured data compression!&lt;/p&gt;</description></item></channel></rss>