<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Verita Insights</title><description>Notes on data engineering, cloud architecture, and AI enablement from the Verita team.</description><link>https://verita-website-4si.pages.dev/</link><item><title>The Real Cost of Real-Time: When Streaming Analytics Is Worth It</title><link>https://verita-website-4si.pages.dev/insights/real-cost-of-real-time/</link><guid isPermaLink="true">https://verita-website-4si.pages.dev/insights/real-cost-of-real-time/</guid><description>Real-time infrastructure is a genuine cost. Here’s how to tell whether a use case actually justifies it.</description><pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate><category>Big Data &amp; Real-Time Analytics</category></item><item><title>Data Lake or Data Warehouse? Why the Question Is Usually Wrong</title><link>https://verita-website-4si.pages.dev/insights/data-lake-vs-warehouse/</link><guid isPermaLink="true">https://verita-website-4si.pages.dev/insights/data-lake-vs-warehouse/</guid><description>Lakes and warehouses solve different problems. Most platforms need both, not a choice between them.</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>Data Lakes &amp; Data Warehouses</category><category>Cloud Data Architecture</category></item><item><title>Why Your Data Platform Isn’t AI-Ready (and How to Fix That)</title><link>https://verita-website-4si.pages.dev/insights/data-platform-ai-readiness/</link><guid isPermaLink="true">https://verita-website-4si.pages.dev/insights/data-platform-ai-readiness/</guid><description>Most AI initiatives stall on the data underneath them, not the model. Here’s what AI-ready data actually requires.</description><pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate><category>AI Enablement</category><category>Data Engineering</category></item></channel></rss>