Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

In addition to rolling out patches to address two zero-days affecting SQL Server and .NET, Microsoft introduced Common Log File System hardening with signature verification.

“Temenos Core is powered by Azure SQL Database Hyperscale, which supports database sizes of up to 128 terabytes. Our customers get the processing speed and architectural flexibility to future-proof ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The panelists discuss the dramatic escalation ...

Microsoft releases SSMA v10.5 to enhance SQL Server and Azure SQL migrations. AI-assisted code conversion improves Oracle and SAP ASE compatibility and reliability. Updated migration tooling supports ...

In this article, learn how to configure an indexer that imports content from Azure SQL Database or an Azure SQL managed instance and makes it searchable in Azure AI Search. This article supplements ...

Abstract: Azure SQL DB offers disaggregated storage architecture called Hyperscale. While this architecture provides storage scale out, it comes at the cost of performance of I/O from remote storage.

At today’s Ignite 2025 event, Microsoft announced one of the biggest Azure data updates in years. The company has announced the general availability of SQL Server 2025. That has come after a long ...

Microsoft was hit with an outage affecting its Azure and 365 services hours before the company was scheduled to report quarterly results. "We are investigating an issue with the Azure Portal where ...

The recent “HITS in the cloud” webinar, hosted by Altron Digital Business and Microsoft South Africa, had a single message: SQL Server remains at the centre of enterprise operations. SQL is ubiquitous ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...