Ashit Gosalia
Microsoft
AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.
AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.
항목: 데이터 및 분석
언어: 영어
Build smarter. Scale faster. Learn from the people behind the product.
Join the Microsoft product team for a deep dive into Spark in Microsoft Fabric. This series is all about real-world guidance, not theory. You will get an inside look at how Spark is evolving, what is changing with Runtime 2.0, and how to design production-ready workloads that actually perform at scale.
Expect practical strategies, direct insights from the engineers building Fabric, and clear takeaways you can apply immediately.
스피커
모든 시간 - 협정 세계시
6월
19
금요일
2026
Orchestrating Fabric Spark and Best Practices for Production-Ready Workload
3:00 오후 - 4:00 오후 (UTC)
Ready to take your Fabric Spark workloads from idea to production? Join two members of the Microsoft product team as they walk through how to orchestrate Spark in Microsoft Fabric using proven, real-world best practices. This is your chance to learn directly from the people who build the product and see how these capabilities are designed to scale. You’ll explore how to scale efficiently, improve price performance with native execution, and secure workloads with enterprise-grade features. Walk away with a production-ready playbook, actionable steps, and AI-powered tools to confidently orchestrate Spark in Microsoft Fabric.
항목: 데이터 및 분석
언어: 영어
7월
15
수요일
2026
Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action
11:00 오후 - 12:00 오전 (UTC)
Fabric Runtime 2.0 is a major leap forward for running Spark at scale in Microsoft Fabric. Join members of the Microsoft product team for a deep dive into what’s new and what it means for you. You will get a clear look at the biggest innovations in Spark 4 and Delta 4, along with the Microsoft enhancements that drive better performance, reliability, and developer productivity. This is your chance to learn directly from the people building the platform and understand how to take advantage of these changes in real-world workloads.
항목: 데이터 및 분석
언어: 영어
8월
05
수요일
2026
The AI-Native Data Engineer featuring Fabric, dbt, VSCode devcontainers and copilot
3:00 오후 - 4:00 오후 (UTC)
Join a Microsoft’s very own Data Engineering team member on the SQL Server team on how their team uses Microsoft Fabric with Copilot CLI, VSCode Devcontainers, dbt (Data Build Tool) and more to remove coding barriers, automating repetitive tasks, have robust dev/test automation and enable platform engineers to focus on optimizing data stacks and architectures to unlock faster insights and greater value from data. P.S. Ralph Wiggum from the Simpson’s TV show may also make a surprise appearance
항목: 데이터 및 분석
언어: 영어
8월
06
목요일
2026
Planning in the Age of AI Starts in Fabric
6:00 오후 - 7:00 오후 (UTC)
Planning doesn’t need to live across five different tools anymore. Join us to explore the new Planning capabilities in Microsoft Fabric, straight from the product managers who built them. See how teams can model, forecast, and collaborate directly on top of their data. We’ll show how bringing planning closer to your data and AI simplifies workflows, removes unnecessary data movement, and helps teams respond faster with more confidence. 🔗 This event is part of a series: https://aka.ms/DataDayslive/spark
항목: 데이터 및 분석
언어: 영어
모든 시간 - 협정 세계시
6월
19
금요일
2026
Orchestrating Fabric Spark and Best Practices for Production-Ready Workload
3:00 오후 - 4:00 오후 (UTC)
Ready to take your Fabric Spark workloads from idea to production? Join two members of the Microsoft product team as they walk through how to orchestrate Spark in Microsoft Fabric using proven, real-world best practices. This is your chance to learn directly from the people who build the product and see how these capabilities are designed to scale. You’ll explore how to scale efficiently, improve price performance with native execution, and secure workloads with enterprise-grade features. Walk away with a production-ready playbook, actionable steps, and AI-powered tools to confidently orchestrate Spark in Microsoft Fabric.
항목: 데이터 및 분석
언어: 영어
7월
15
수요일
2026
Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action
11:00 오후 - 12:00 오전 (UTC)
Fabric Runtime 2.0 is a major leap forward for running Spark at scale in Microsoft Fabric. Join members of the Microsoft product team for a deep dive into what’s new and what it means for you. You will get a clear look at the biggest innovations in Spark 4 and Delta 4, along with the Microsoft enhancements that drive better performance, reliability, and developer productivity. This is your chance to learn directly from the people building the platform and understand how to take advantage of these changes in real-world workloads.
항목: 데이터 및 분석
언어: 영어
8월
05
수요일
2026
The AI-Native Data Engineer featuring Fabric, dbt, VSCode devcontainers and copilot
3:00 오후 - 4:00 오후 (UTC)
Join a Microsoft’s very own Data Engineering team member on the SQL Server team on how their team uses Microsoft Fabric with Copilot CLI, VSCode Devcontainers, dbt (Data Build Tool) and more to remove coding barriers, automating repetitive tasks, have robust dev/test automation and enable platform engineers to focus on optimizing data stacks and architectures to unlock faster insights and greater value from data. P.S. Ralph Wiggum from the Simpson’s TV show may also make a surprise appearance
항목: 데이터 및 분석
언어: 영어
8월
06
목요일
2026
Planning in the Age of AI Starts in Fabric
6:00 오후 - 7:00 오후 (UTC)
Planning doesn’t need to live across five different tools anymore. Join us to explore the new Planning capabilities in Microsoft Fabric, straight from the product managers who built them. See how teams can model, forecast, and collaborate directly on top of their data. We’ll show how bringing planning closer to your data and AI simplifies workflows, removes unnecessary data movement, and helps teams respond faster with more confidence. 🔗 This event is part of a series: https://aka.ms/DataDayslive/spark
항목: 데이터 및 분석
언어: 영어