Devart, a leading developer of database management software, is offering dbForge 2025.3, the latest update to its unified ecosystem of professional database tools—delivering expanded connectivity, ...
Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...
The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...
Thank you for releasing this helpful library which my team is keen to explore further. import os from azure.identity import InteractiveBrowserCredential from PowerPlatform.Dataverse.client import ...
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 ...
Microsoft has announced that SQL Server Integration Services (SSIS) is now officially supported in the latest SQL Server Management Studio (SSMS) 22 Preview 3. This release is quite important for ...
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 ...
As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...
Microsoft has released the first preview of SQL Server Management Studio (SSMS) 22. The preview, announced on September 9, can be installed side-by-side with earlier releases, including SSMS 21, which ...
Choosing between Microsoft Dataverse and Microsoft SQL Server resulted in us having to decide between two good options. Microsoft Digital stories Editor’s note: This story was created with the help of ...
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...