<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Supply Chain Delay on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/supply-chain-delay/</link><description>Recent content in Supply Chain Delay 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/supply-chain-delay/index.xml" rel="self" type="application/rss+xml"/><item><title>Real-time Supply Chain Delay Analytics (Gold Layer)</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/05-dlt-gold-delay-analytics/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/05-dlt-gold-delay-analytics/</guid><description>&lt;h2 id="chapter-5-real-time-supply-chain-delay-analytics-gold-layer"&gt;Chapter 5: Real-time Supply Chain Delay Analytics (Gold Layer)&lt;/h2&gt;
&lt;h3 id="chapter-introduction"&gt;Chapter Introduction&lt;/h3&gt;
&lt;p&gt;Welcome to Chapter 5, where we elevate our supply chain data from the Silver layer to the Gold layer. In this crucial phase, we will build Databricks Delta Live Tables (DLT) pipelines to perform real-time aggregations and derive actionable insights for supply chain delay analytics. This involves taking the cleaned and enriched data from our Silver tables and transforming it into easily consumable metrics, such as average delay times, on-time delivery rates, and identifying critical delay incidents.&lt;/p&gt;</description></item><item><title>Real-time Supply Chain Delay Analytics (Gold Layer)</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/05-dlt-gold-delay-analytics/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/05-dlt-gold-delay-analytics/</guid><description>&lt;h2 id="chapter-5-real-time-supply-chain-delay-analytics-gold-layer"&gt;Chapter 5: Real-time Supply Chain Delay Analytics (Gold Layer)&lt;/h2&gt;
&lt;h3 id="chapter-introduction"&gt;Chapter Introduction&lt;/h3&gt;
&lt;p&gt;Welcome to Chapter 5, where we elevate our supply chain data from the Silver layer to the Gold layer. In this crucial phase, we will build Databricks Delta Live Tables (DLT) pipelines to perform real-time aggregations and derive actionable insights for supply chain delay analytics. This involves taking the cleaned and enriched data from our Silver tables and transforming it into easily consumable metrics, such as average delay times, on-time delivery rates, and identifying critical delay incidents.&lt;/p&gt;</description></item></channel></rss>