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 ...
the documentation states that the graphql.operation tag for server request observations is derived from the operation’s custom name (if provided) or the default operation name, and that it is intended ...
This month’s collection of fixes from Microsoft includes 86 patches — but at least there were no zero-day bugs. Microsoft released 86 patches this week with updates for Office, Windows, and SQL Server ...
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.
As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...
At Microsoft Build, SQL Server 2025 enters public preview with major enhancements in AI integration, performance, reliability and developer tools -- reaffirming Microsoft’s continued investment in its ...
When trying to install SolidWorks on a Windows computer, you may encounter an issue when the installation is trying to install Microsoft SQL Server. So, the installation works fine until it reaches ...
Abstract: The deep learning-based cardinality estimation is a hot research topic in the field of database query optimization. The SQL query featurization has a direct impact on the quality of ...
Windows Firewall’s default function is to block unauthorized connections to protect your system; therefore, configuring it properly on Windows 11 is vital, especially when setting up SQL Server for ...
Cardinality estimation (CE) is crucial in optimizing query performance in relational databases. It involves predicting the number of intermediate results a database query will return, directly ...
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