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There’s a pattern in how complex technology matures. Early on, teams make their own choices: different tools, different abstractions, different ways of reasoning about failure. It looks like flexibility but at scale it reveals itself as fragmentation. The fix is never just more capability; it’s shared operational philosophy. Kubernetes proved this. It didn’t just answer…
This week, we are excited to kick off SQLCon 2026 alongside FabCon in Atlanta. Bringing these SQL and Fabric communities together creates a unique opportunity to learn, connect, and share what’s next across the Microsoft databases portfolio. This year is especially meaningful, as it marks the return of a Microsoft‑led SQL community event, while also…
In this article Introducing the Database Hub in Microsoft Fabric Getting your data estate ready for AI with Fabric Unifying your data estate with Microsoft OneLake Processing and harmonizing data with Fabric analytics Creating semantic meaning with Fabric IQ Empowering agents to act with Fabric data and operations agents Building mission-critical applications with developer experiences…
Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and infrastructure to power many of today’s most important AI breakthroughs. What’s new at NVIDIA GTCExpanded Microsoft Foundry capabilities to build, deploy and operate production-ready AI agents on NVIDIA…
Organizations today face mounting pressure to grow revenue, strengthen security, and innovate—often all at the same time. To meet these demands, many are accelerating cloud migration as a way to unlock greater business outcomes. According to the IDC White Paper,1 sponsored by Microsoft, the top driver for moving to the cloud is operational efficiency, with…
Across industries, organizations are increasingly standardizing on open models to gain greater control over performance, cost, customization, and the security and compliance required for enterprise deployment. Open models give teams the flexibility to choose the right architecture for each workload and avoid lock‑in to a single model provider as their needs evolve. Explore models on…