Cloud data platform’s backward-incompatible database schema change left customers unable to query data or ingest files ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

Customers in 10 of the company’s 23 regions had “operations fail or take an extended amount of time to complete.” ...

Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...

Abstract: This paper presents a novel adaptive indexing framework designed to optimize query performance in distributed systems using Azure Data Explorer (ADX). As organizations increasingly rely on ...

Microsoft said today that the Aisuru botnet hit its Azure network with a 15.72 terabits per second (Tbps) DDoS attack, launched from over 500,000 IP addresses. The attack used extremely high-rate UDP ...

“With Microsoft Azure API Management, we securely manage AI services and APIs across all channels. It’s the backbone of our architecture—scaling with demand while maintaining strict governance and ...

Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS. The move to building and training AI models at scale has had interesting second-order ...

NVIDIA Run:ai, integrated with Microsoft Azure, enhances AI infrastructure by optimizing GPU resource management, boosting performance, and offering seamless orchestration for scalable AI operations.

It shouldn’t be a surprise that there’s a lot of Azure you can run on premises, thanks to platforms like Azure Stack. But there’s more to on-premises Azure than the familiar platforms and services.

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...