Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...
SQL to DOCX Exporter is a powerful Visual Studio Code extension that seamlessly integrates SQL query execution with professional document generation. Execute queries directly from your SQL files and ...
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 ...
Microsoft is working to resolve a known issue that causes its Defender for Endpoint enterprise endpoint security platform to incorrectly tag SQL Server software as end-of-life. According to a service ...
At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...
A step-by-step guide to deploying, configuring, and testing a multi-AZ, multi-region SQL Server FCI in the Azure cloud, complete with a PowerShell script that handles the networking configuration.
Abstract: The advent of compute express link (CXL) has introduced the possibility of multihost shared memory architectures. Despite this advancement, there has been limited exploration of shared ...
Microsoft's continued focus on SQL Server 2025 highlights the lasting demand for on-premises and hybrid deployments that prioritize performance, control and flexibility for enterprise workloads. In ...
Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...
SQL development is evolving fast, and Microsoft.Build.Sql is leading the charge. This next-generation SDK brings flexible project structures, better source control integration, automated build-time ...
Abstract: Text-to-SQL is one of the most prominent areas where Large Language Models (LLMs) have seen extensive application. While Text-to-SQL systems using LLMs and pre-trained deep learning models ...
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