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We’re thrilled to announce the general availability of Azure Storage Actions, our fully managed platform that transforms how organizations automate data management tasks for Azure Blob and Data Lake Storage. Businesses continuously generate, analyze, and store data, accumulating vast datasets with billions of objects that span multiple regions. Relentless data sprawl makes it difficult for…
In a data-driven world, you need an efficient way to harness your data for actionable insights and gain a competitive edge. Azure Databricks is a powerful, unified analytics and AI platform that streamlines the entire AI project lifecycle—from rapid experimentation to production deployment. By consolidating data ingestion, transformation, and model tracking in one environment, Azure…
Businesses of all sizes are facing the challenge of increasing data volumes and the critical need for efficient, scalable, and cost-effective file storage solutions. At Azure Storage, we deeply understand these demands. That’s why we continue to innovate within Azure Files, our fully managed file share service in the cloud. Azure Files manages hundreds of…
The healthcare industry has consistently been at the forefront of technological advancements, continuously seeking ways to improve patient care and outcomes. In recent years, the integration of AI into healthcare has opened new avenues for innovation and efficiency. Azure OpenAI Service is a leading contributor to this transformation, empowering healthcare providers to create better outcomes…
I’m excited to share our recent updates to Azure Elastic SAN—our solution for high-scale cost efficiency in the cloud. Whether you’re looking for a seamless migration of your SAN environment or looking to consolidate existing workloads within the cloud, this enterprise-class offering stands out by helping you simplify your storage management experience and giving you…
High-performance computing (HPC) workloads place significant demands on cloud infrastructure, requiring robust and scalable resources to handle complex and intensive computational tasks. These workloads often necessitate high levels of parallel processing power, typically provided by clusters of central processing unit (CPU) or graphics processing unit (GPU)-based virtual machines. Additionally, HPC applications demand substantial data storage…