<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Silver Layer on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/silver-layer/</link><description>Recent content in Silver Layer 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/silver-layer/index.xml" rel="self" type="application/rss+xml"/><item><title>Refining Supply Chain Events for Delay Analytics (Silver Layer)</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/04-dlt-silver-event-refinement/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/04-dlt-silver-event-refinement/</guid><description>&lt;h2 id="chapter-4-refining-supply-chain-events-for-delay-analytics-silver-layer"&gt;Chapter 4: Refining Supply Chain Events for Delay Analytics (Silver Layer)&lt;/h2&gt;
&lt;h3 id="chapter-introduction"&gt;Chapter Introduction&lt;/h3&gt;
&lt;p&gt;Welcome to Chapter 4! In this chapter, we will elevate the raw supply chain event data ingested into our Bronze layer to a refined, clean, and structured Silver layer using Databricks Delta Live Tables (DLT). The Bronze layer, which we established in the previous chapter, serves as our landing zone for immutable raw data. Now, our focus shifts to transforming this raw data into a format suitable for downstream analytics, particularly for identifying and analyzing supply chain delays.&lt;/p&gt;</description></item><item><title>Refining Supply Chain Events for Delay Analytics (Silver Layer)</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/04-dlt-silver-event-refinement/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/04-dlt-silver-event-refinement/</guid><description>&lt;h2 id="chapter-4-refining-supply-chain-events-for-delay-analytics-silver-layer"&gt;Chapter 4: Refining Supply Chain Events for Delay Analytics (Silver Layer)&lt;/h2&gt;
&lt;h3 id="chapter-introduction"&gt;Chapter Introduction&lt;/h3&gt;
&lt;p&gt;Welcome to Chapter 4! In this chapter, we will elevate the raw supply chain event data ingested into our Bronze layer to a refined, clean, and structured Silver layer using Databricks Delta Live Tables (DLT). The Bronze layer, which we established in the previous chapter, serves as our landing zone for immutable raw data. Now, our focus shifts to transforming this raw data into a format suitable for downstream analytics, particularly for identifying and analyzing supply chain delays.&lt;/p&gt;</description></item></channel></rss>