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 ...

The four-year degree has long been sold as the golden ticket to a well-paying career. But that ticket now comes with an average price tag of over $100,000 in student debt, and no guarantee of a job at ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

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SQL Server backups cannot be restored to older versions directly. Use Export and Import Data-Tier Application for cross-version database migration. Reconfigure permissions, logins, and connection ...

Set up a search indexer to index tables in Azure SQL Database for vector and full text search in Azure AI Search. In this article, learn how to configure an indexer that imports content from Azure SQL ...

How must databases adapt to generative AI, and how should databases be integrated with large language models (LLMs)? These are questions that Sailesh Krishnamurthy has grappled with for several years ...

Enterprises need data, and data needs to be stored, with a flexible, portable environment that scales from developers’ laptops to global clouds. That storage also needs to be able to run on any OS and ...

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 ...

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 ...