<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Real-Time Data Processing on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/real-time-data-processing/</link><description>Recent content in Real-Time Data Processing 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/real-time-data-processing/index.xml" rel="self" type="application/rss+xml"/><item><title>Comprehensive Testing Strategies for DLT and Streaming Pipelines</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/12-testing-dlt-streaming/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence-2/12-testing-dlt-streaming/</guid><description>&lt;h2 id="chapter-12-comprehensive-testing-strategies-for-dlt-and-streaming-pipelines"&gt;Chapter 12: Comprehensive Testing Strategies for DLT and Streaming Pipelines&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 12 of our journey! In the preceding chapters, we meticulously engineered robust data ingestion pipelines using Kafka, built transformative Delta Live Tables (DLT) for supply chain event processing and tariff analysis, and developed Spark Structured Streaming jobs for real-time logistics cost monitoring. We&amp;rsquo;ve laid a solid foundation for our real-time supply chain intelligence platform. However, building data pipelines is only half the battle; ensuring their reliability, accuracy, and performance is paramount for any production system.&lt;/p&gt;</description></item><item><title>Comprehensive Testing Strategies for DLT and Streaming Pipelines</title><link>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/12-testing-dlt-streaming/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/realtime-supply-chain-intelligence/12-testing-dlt-streaming/</guid><description>&lt;h2 id="chapter-12-comprehensive-testing-strategies-for-dlt-and-streaming-pipelines"&gt;Chapter 12: Comprehensive Testing Strategies for DLT and Streaming Pipelines&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 12 of our journey! In the preceding chapters, we meticulously engineered robust data ingestion pipelines using Kafka, built transformative Delta Live Tables (DLT) for supply chain event processing and tariff analysis, and developed Spark Structured Streaming jobs for real-time logistics cost monitoring. We&amp;rsquo;ve laid a solid foundation for our real-time supply chain intelligence platform. However, building data pipelines is only half the battle; ensuring their reliability, accuracy, and performance is paramount for any production system.&lt;/p&gt;</description></item></channel></rss>