Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...

How schema-aware AI SQL tools are reducing query failures, improving accuracy rates up to 90%, and helping non-technical teams access enterprise data without waiting for analysts. AI-driven SQL tools ...

As SQL Server 2016 approaches end of support in July 2026, a look back at its groundbreaking innovations reveals how it reshaped Microsoft's data platform and why it's time to move forward. As I've ...

Abstract: Recent work has shown that fine-tuning LLMs with synthetic data improves text-to-SQL performance. However, synthetic data for in-context learning (ICL) remains underexplored. Existing data ...

Microsoft has launched a database management tool it promises will help users manage multiple databases sharing a single SQL engine. With the vendor's Fabric data platform, Database Hub promises a ...

Built-in intelligence – SQL Server 2025 optimising performance and insight. Key takeaways SQL Server 2025 shifts optimisation from a reactive activity to an intelligence-driven discipline. Built-in ...

As our platform evolves, we're looking for a senior Database Administrator with deep Azure SQL expertise to help us manage performance, scalability, and cost in a more structural and proactive way.

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

The role of the Database Administrator (DBA) has always been dynamic, evolving alongside shifts in technology, data strategies, and business needs. But in 2025, the DBA’s responsibilities are ...

Large language models (LLMs) have demonstrated strong performance in translating natural language questions into SQL queries (Text-to-SQL). In contrast, small language models (SLMs) ranging from 0.5B ...