Data professionals

We are pleased to share that Microsoft is named a Leader in the 2021 Gartner® Magic Quadrant™ for Cloud Database Management Systems.

Azure Files offers fully managed, simple, secure, and serverless enterprise-grade cloud file shares. On the Azure Files team, our mission is to expand Azure Files to more platforms and workloads.

As AI becomes more deeply embedded in our everyday lives, it is incumbent upon all of us to be thoughtful and responsible in how we apply it to benefit people and society.

AI is transforming business and the world. However, AI models learn from the data. Biases that exist in society will exist in the models. Human judgment must be the overriding factor, ensuring that AI models benefit and are inclusive of everyone.

Due to the complexity, high cost of operations, and unscalable infrastructure, on-premises Hadoop platforms have often not delivered on their initial promises to impact business value. As a result, many enterprises are now seeking to modernize their Hadoop platforms to cloud data platforms.

Azure’s market-leading vision for HPC and AI is based on a commitment to continual improvement and backed by a core of genuine and recognized HPC expertise, using proven HPC technology and design principles, enhanced with the best features of the cloud.

Whether it’s SQL Server, Azure SQL, open source, or NoSQL, Microsoft’s database services are here to help you build cloud-native applications or modernize existing applications with fully managed, flexible databases.

We are announcing that a private preview is now live for Azure HBv3 virtual machines enhanced by AMD EPYC 3rd Gen processors with 3D v-cache, codenamed “Milan-X”.

At our Microsoft Ignite conference this week, we’re sharing new ways to continue to enhance your cloud adoption journey by announcing the preview of Azure Chaos Studio—a fully managed experimentation service to help you track, measure, and mitigate faults with controlled chaos engineering, systemically improving the

There are three core capabilities businesses need that together drive successful transformation: limitless database scale and performance, unmatched analytics and insights, and unified data governance. Today we shared a number of announcements to help organizations evolve rapidly even in the face of sustained uncertainty.

A growing number of organizations are taking advantage of machine learning to increase efficiency, enhance customer experiences and drive innovation. Azure Machine Learning is the enterprise-grade service to build and deploy models faster and accelerate the machine learning lifecycle.

Design and deployment of high performance computing (HPC) infrastructure is often constrained by physical resources, internal know-how, and policies. That can be a challenge in the current era of new hardware architectures, programming paradigms, and constantly changing simulation software.