Why Most Fabric Deployments Fail at Scale | Amit Chandak, Microsoft MVP I Kanerika's CAO скачать в хорошем качестве

Why Most Fabric Deployments Fail at Scale | Amit Chandak, Microsoft MVP I Kanerika's CAO

Most organizations invest heavily in Microsoft Fabric, only to hit walls when scaling. Where does it break down? In this episode, Amit Chandak (Chief Analytics Officer at Kanerika, Microsoft Data Platform MVP) breaks down the real blockers companies face when deploying Fabric at scale. We cover: ✓ Why legacy BI tools create hidden friction during migration ✓ The gap between leadership expectations and platform reality ✓ How real-time intelligence changes decision-making (and why batch processing doesn't cut it anymore) ✓ What validation actually looks like when moving decades of reports ✓ The specific questions CXOs should ask before committing to a migration partner This isn't a Fabric sales pitch. It's a straight conversation about what works, what doesn't, and how to avoid expensive mistakes when modernizing your data platform. Planning a Fabric migration or deployment? Let's talk: https://kanerika.com/contact-us/ 00:00 Introduction 01:16 How Analytics Changed in 5 Years 03:50 The Gap Between Intent and Infrastructure 06:23 What Leadership Gets Wrong About Data Platforms 09:13 Red Flags Your Platform Is Holding You Back 11:10 What Is Microsoft Fabric 19:47 Real-Time Intelligence in Microsoft Fabric 21:48 AI Capabilities in Microsoft Fabric 23:58 Why Organizations Fear Platform Migration 26:38 How Data Platform Migration Actually Works 29:14 Validating Business Logic After Migration 30:24 Questions to Ask Migration Partners