<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Apache Kafka on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/apache-kafka/</link><description>Recent content in Apache Kafka 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/apache-kafka/index.xml" rel="self" type="application/rss+xml"/><item><title>End-to-End Real-time Procurement Price Intelligence</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/11-procurement-price-intelligence/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/11-procurement-price-intelligence/</guid><description>&lt;h2 id="chapter-11-end-to-end-real-time-procurement-price-intelligence"&gt;Chapter 11: End-to-End Real-time Procurement Price Intelligence&lt;/h2&gt;
&lt;h3 id="1-chapter-introduction"&gt;1. Chapter Introduction&lt;/h3&gt;
&lt;p&gt;In this pivotal chapter, we will construct an end-to-end real-time procurement price intelligence pipeline. This pipeline is crucial for modern supply chains, enabling organizations to react swiftly to price fluctuations, optimize procurement costs, and mitigate risks associated with volatile markets. By leveraging the power of Apache Kafka for real-time event ingestion, Databricks Delta Live Tables (DLT) for robust stream processing, and Delta Lake with Unity Catalog for reliable data storage and governance, we will build a system that delivers actionable insights continuously.&lt;/p&gt;</description></item><item><title>End-to-End Real-time Procurement Price Intelligence</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/11-procurement-price-intelligence/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/11-procurement-price-intelligence/</guid><description>&lt;h2 id="chapter-11-end-to-end-real-time-procurement-price-intelligence"&gt;Chapter 11: End-to-End Real-time Procurement Price Intelligence&lt;/h2&gt;
&lt;h3 id="1-chapter-introduction"&gt;1. Chapter Introduction&lt;/h3&gt;
&lt;p&gt;In this pivotal chapter, we will construct an end-to-end real-time procurement price intelligence pipeline. This pipeline is crucial for modern supply chains, enabling organizations to react swiftly to price fluctuations, optimize procurement costs, and mitigate risks associated with volatile markets. By leveraging the power of Apache Kafka for real-time event ingestion, Databricks Delta Live Tables (DLT) for robust stream processing, and Delta Lake with Unity Catalog for reliable data storage and governance, we will build a system that delivers actionable insights continuously.&lt;/p&gt;</description></item><item><title>Building a Real-time Supply Chain Intelligence Platform with Databricks Lakehouse: A Complete Production-Ready Guide</title><link>https://ai-blog.noorshomelab.dev/projects/realtime-supply-chain-intelligence-databricks-guide/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/projects/realtime-supply-chain-intelligence-databricks-guide/</guid><description>&lt;h2 id="project-overview"&gt;Project Overview&lt;/h2&gt;
&lt;p&gt;Welcome to the comprehensive guide for building a &lt;strong&gt;Real-time Supply Chain Intelligence Platform with Databricks Lakehouse&lt;/strong&gt;. In today&amp;rsquo;s volatile global economy, supply chains are constantly challenged by disruptions, fluctuating costs, and complex trade regulations. This project aims to equip developers with the skills to build a robust, scalable, and intelligent platform that provides real-time visibility and predictive analytics for critical supply chain metrics.&lt;/p&gt;
&lt;p&gt;We will construct an end-to-end data platform that ingests streaming supply chain events, performs real-time delay analytics, conducts HS (Harmonized System) Code-based import-export tariff impact analysis with historical trends, monitors logistics costs with tariff and fuel price correlation, and validates customs trade data for anomaly detection. The ultimate goal is to deliver a real-time procurement price intelligence pipeline, enabling proactive decision-making and optimizing operational efficiency.&lt;/p&gt;</description></item></channel></rss>