The AI-native Data Engineer | OD818

This session explores how AI is transforming data engineering. Discover how agentic Copilot across Fabric Web, VS Code, and CLI removes coding barriers, automates repetitive tasks, and lets engineers focus on optimizing data stacks to unlock faster insights. We’ll also cover the latest Fabric releases and how they accelerate the path from idea to production. To learn more, please check out these resources: * https://aka.ms/build26-next-steps 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Piero Morano * Raki Rahman 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Build 2026 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com OD818 | English (US) | Cloud platform & data Pre-recorded | (200) Intermediate #MSBuild Chapters: 0:00 - Introduction to the Microsoft Build session on AI-Native Data Engineer by Piero Morano 00:00:58 - Raki Rahman introduction and overview of AI-native data engineering goals 00:01:21 - Agenda overview: role evolution, Fabric tools, and VS Code vs web workflows 00:01:59 - Overview of Microsoft Fabric and unified platform for data teams 00:03:00 - Evolution of data engineering: traditional vs AI-native roles 00:03:47 - Choosing tools: Fabric portal, VS Code IDE, and CLI for AI-assisted work 00:05:02 - Copilot Chat and VS Code Fabric extension introduction 00:05:21 - Demo 1: Copilot building streaming pipeline using Fabric and medallion architecture 00:09:37 - Raki Rahman presents the Ralph Loop concept applied to AI workflows 00:11:03 - Demonstration of AI-assisted local development, mounting OneLake, and automated ETL optimization with Copilot