Ashit Gosalia
Microsoft
Készen áll az AI és a legújabb technológiák használatának megkezdésére? A Microsoft Reactor eseményeket, képzéseket és közösségi erőforrásokat biztosít a fejlesztőknek, vállalkozóknak és startupoknak az AI-technológiákra és egyebekre való támaszkodásához. Csatlakozzon Ön is!
Készen áll az AI és a legújabb technológiák használatának megkezdésére? A Microsoft Reactor eseményeket, képzéseket és közösségi erőforrásokat biztosít a fejlesztőknek, vállalkozóknak és startupoknak az AI-technológiákra és egyebekre való támaszkodásához. Csatlakozzon Ön is!
Téma: Adatok és elemzések
Nyelv: Angol
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.
Előadók
Minden alkalommal a - Koordinált egyetemes idő
jún.
19
péntek
2026
Orchestrating Fabric Spark and Best Practices for Production-Ready Workload
3:00 du. - 4:00 du. (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.
Téma: Adatok és elemzések
Nyelv: Angol
júl.
15
szerda
2026
Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action
11:00 du. - 12:00 de. (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.
Téma: Adatok és elemzések
Nyelv: Angol
Minden alkalommal a - Koordinált egyetemes idő
jún.
19
péntek
2026
Orchestrating Fabric Spark and Best Practices for Production-Ready Workload
3:00 du. - 4:00 du. (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.
Téma: Adatok és elemzések
Nyelv: Angol
júl.
15
szerda
2026
Inside Fabric Runtime 2.0: Spark 4 and Delta 4 in Action
11:00 du. - 12:00 de. (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.
Téma: Adatok és elemzések
Nyelv: Angol