<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Notebooks on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/notebooks/</link><description>Recent content in Notebooks on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 19 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/notebooks/index.xml" rel="self" type="application/rss+xml"/><item><title>Getting Started with Your Databricks Workspace</title><link>https://ai-blog.noorshomelab.dev/databricks-mastery-2025/getting-started-workspace/</link><pubDate>Fri, 19 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/databricks-mastery-2025/getting-started-workspace/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome, aspiring data wizard! In this exciting first chapter, we&amp;rsquo;re going to embark on our journey into the powerful world of Databricks. Think of this as your grand tour of the Databricks &amp;ldquo;command center&amp;rdquo; – your workspace. We&amp;rsquo;ll start from the absolute basics, ensuring you feel comfortable and confident navigating this platform.&lt;/p&gt;
&lt;p&gt;By the end of this chapter, you&amp;rsquo;ll know how to access your Databricks workspace, understand its fundamental components like clusters and notebooks, and even run your very first piece of code. This foundational knowledge is crucial because the Databricks workspace is where all your data engineering, machine learning, and analytics magic happens. It&amp;rsquo;s the launchpad for every project we&amp;rsquo;ll build together!&lt;/p&gt;</description></item></channel></rss>