SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, most critical business data is still queried, validated, and ...

I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...

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 ...

This guide provides instructions on how to set up and use SQL Server with DBeaver. Before you start, you must create a connection in DBeaver and select SQL Server. If you have not done this, please ...

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 ...

As today’s database administrators (DBAs) manage the complexity of modern database environments, particularly containerized systems, they must lean into smart automation to transform database ...

Despite its steep licensing costs, SQL Server continues to prove its worth over open-source alternatives in some key areas. SQL Server is an expensive part of your IT stack -- SQL Server Enterprise ...

Abstract: Accelerated by the COVID-19 pandemic, the rapid growth of online retail, or electronic commerce, has transformed the way consumers fulfil their needs and desires. This expansion introduced ...

Microsoft unveiled .NET Aspire at the Build 2024 developer conference, describing it as an opinionated, cloud-ready stack for building observable, production ready, distributed, cloud-native ...

Microsoft has announced the preview release of SQL Server 2025, the next iteration of the popular SQL Server 2022 database management system. SQL Server 2025 is designed to power AI applications in ...

The increasing adoption of AI technologies is presenting new challenges for our customers’ data estate and applications. Most organizations expect to deploy AI workloads across a hybrid mix of cloud, ...