<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lakehouse on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/lakehouse/</link><description>Recent content in Lakehouse on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 20 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/lakehouse/index.xml" rel="self" type="application/rss+xml"/><item><title>Securing Your Lakehouse with Databricks Unity Catalog</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/13-unity-catalog-security/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/13-unity-catalog-security/</guid><description>&lt;h2 id="securing-your-lakehouse-with-databricks-unity-catalog"&gt;Securing Your Lakehouse with Databricks Unity Catalog&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 13 of our comprehensive guide! In the previous chapters, we&amp;rsquo;ve meticulously built robust data pipelines, ingesting real-time supply chain events, performing complex analytics, and establishing a sophisticated data lakehouse architecture. We&amp;rsquo;ve focused on data transformation, reliability, and performance. Now, it&amp;rsquo;s time to address a critical aspect for any production-ready system: &lt;strong&gt;security and data governance&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;This chapter will guide you through implementing Databricks Unity Catalog to secure your data lakehouse. Unity Catalog provides a centralized governance solution for data and AI on the Databricks Lakehouse Platform, offering fine-grained access control, auditing, and data lineage across all your data assets. By the end of this chapter, you will have a securely governed lakehouse, ensuring that only authorized users and applications can access specific data, and that all data access is auditable and compliant with organizational policies.&lt;/p&gt;</description></item><item><title>Securing Your Lakehouse with Databricks Unity Catalog</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/13-unity-catalog-security/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/13-unity-catalog-security/</guid><description>&lt;h2 id="securing-your-lakehouse-with-databricks-unity-catalog"&gt;Securing Your Lakehouse with Databricks Unity Catalog&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 13 of our comprehensive guide! In the previous chapters, we&amp;rsquo;ve meticulously built robust data pipelines, ingesting real-time supply chain events, performing complex analytics, and establishing a sophisticated data lakehouse architecture. We&amp;rsquo;ve focused on data transformation, reliability, and performance. Now, it&amp;rsquo;s time to address a critical aspect for any production-ready system: &lt;strong&gt;security and data governance&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;This chapter will guide you through implementing Databricks Unity Catalog to secure your data lakehouse. Unity Catalog provides a centralized governance solution for data and AI on the Databricks Lakehouse Platform, offering fine-grained access control, auditing, and data lineage across all your data assets. By the end of this chapter, you will have a securely governed lakehouse, ensuring that only authorized users and applications can access specific data, and that all data access is auditable and compliant with organizational policies.&lt;/p&gt;</description></item></channel></rss>