<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Real Data Cloud]]></title><description><![CDATA[Real Data Cloud]]></description><link>https://www.realdatacloud.com/blog</link><generator>RSS for Node</generator><lastBuildDate>Sun, 13 Sep 2026 19:34:43 GMT</lastBuildDate><atom:link href="https://www.realdatacloud.com/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Where Modern Data Engineering Is Going: From ETL Pipelines to Agentic AI]]></title><description><![CDATA[Why does a modern enterprise need so many different data technologies?   No enterprise sets out to run twelve overlapping data platforms. It happens because data engineering is not one problem — it is a stack of distinct engineering problems (movement, storage, transformation, governance, modeling, serving, intelligence) that historically got solved by different tools built by different vendors at different times, for different failure modes.   The confusion architects run into isn't "which...]]></description><link>https://www.realdatacloud.com/post/where-modern-data-engineering-is-going-from-etl-pipelines-to-agentic-ai</link><guid isPermaLink="false">6aa6dbcd2bad265141455895</guid><pubDate>Sun, 13 Sep 2026 17:32:47 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/f7593a_73a81b15fdfd47a6a5b265d2152ff522~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>realdatacloud</dc:creator></item></channel></rss>