Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

Minnesota Department of Human Services leaders James Clark, inspector general (far left); Shireen Gandhi, temporary commissioner (middle); and John Connolly, deputy commissioner and Medicaid director ...

Rising AI computing demand is lifting shipments of general-purpose servers, positioning them as a key growth driver for the server supply chain in 2026. Supply chain sources said AI servers will ...

Attila covers software, apps and services, with a focus on virtual private networks. He's an advocate for digital privacy and has been quoted in online publications like Computer Weekly, The Guardian, ...

SQLMind Studio is a Windows-based SQL editor and database management tool designed specifically for Microsoft SQL Server and Azure SQL Database. It extends and modifies the open-source Beekeeper ...

As artificial intelligence (AI) development accelerates, power consumption across computing platforms is climbing sharply. Competition among data and computing centers is no longer limited to server ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice when building microservices. “It is tempting, if the only tool you have is ...

Enterprises with on-premises SQL Server infrastructure face a choice by January 2027: migrate database monitoring to Azure’s consumption-based billing, or lose support for critical SCOM Management ...

Microsoft deprecates SSRS, PBIRS and SSAS management packs for SCOM, ending support in 2027. The move signals a shift from on-prem SCOM extensions toward cloud-based SQL Server monitoring. IT teams ...

Microsoft is moving another core database management component into the cloud, continuing its broader shift away from traditional on-premises infrastructure. According to Neowin, the company has ...

Abstract: The in-context learning capability of Large Language Models has achieved significant success in text-to-SQL task. Most existed approaches generally adopt a straightforward three-stage ...