<?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 Mohamed Amine Hlali</title><link>https://blog.mohamedaminehlali.cloud/tags/data-engineering/</link><description>Recent content in Data Engineering on Mohamed Amine Hlali</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 28 May 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.mohamedaminehlali.cloud/tags/data-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>5 Reasons Why Azure Databricks Is the Best Data + AI Platform on Azure</title><link>https://blog.mohamedaminehlali.cloud/posts/5-reasons-why-azure-databricks-is-the-best-data--ai-platform-on-azure/</link><pubDate>Wed, 28 May 2025 00:00:00 +0000</pubDate><guid>https://blog.mohamedaminehlali.cloud/posts/5-reasons-why-azure-databricks-is-the-best-data--ai-platform-on-azure/</guid><description>&lt;p&gt;As data and AI workloads grow in scale and complexity, organizations need more than a collection of connected services — they need a &lt;strong&gt;unified platform&lt;/strong&gt; that simplifies every stage of the data lifecycle. Azure Databricks delivers exactly that, combining the full power of the Databricks Data Intelligence Platform with deep Azure integrations to help teams move faster, reduce complexity, and innovate responsibly.&lt;/p&gt;
&lt;p&gt;Adopted by thousands of customers — including enterprise giants like AT&amp;amp;T, Swiss Re, CVS Health, HSBC, Shell, and Walgreens — Azure Databricks is a proven platform at scale. Here are five key reasons why data and AI teams choose it as their unified analytics and AI platform.&lt;/p&gt;</description></item></channel></rss>