<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Engineering on Gaurav.dev</title><link>/tags/data-engineering/</link><description>Recent content in Data-Engineering on Gaurav.dev</description><generator>Hugo</generator><language>en-US</language><copyright>© 2026 Gaurav. Built with care and clean code.</copyright><lastBuildDate>Thu, 06 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="/tags/data-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Your Data Platform Should Start With Decisions, Not Tools</title><link>/posts/data-platform-starts-with-metrics/</link><pubDate>Thu, 06 Aug 2026 00:00:00 +0000</pubDate><guid>/posts/data-platform-starts-with-metrics/</guid><description>&lt;p&gt;Teams often buy a warehouse and a visualisation tool, connect every source, and discover that nobody agrees what the dashboard means. A useful data platform starts at the other end: the decisions people need to make.&lt;/p&gt;&#10;&lt;h2 id="map-questions-to-action"&gt;Map questions to action&lt;/h2&gt;&#10;&lt;p&gt;List recurring decisions by audience. Which customers need attention? Which acquisition channel deserves budget? Is a release improving activation? For each, define the owner, cadence, action, and acceptable delay. This establishes valuable data products and realistic freshness requirements.&lt;/p&gt;</description></item></channel></rss>