Artificial intelligence has become embedded in nearly every operational layer of modern institutions. It parses docume ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...

Prototyping is my favorite part of programming. I like building new stuff and getting things working. It’s no surprise, then, that I am a big fan of MongoDB and NoSQL in general. Don’t get me wrong: I ...

SQL Server backups cannot be restored to older versions directly. Use Export and Import Data-Tier Application for cross-version database migration. Reconfigure permissions, logins, and connection ...

Supports execution-based metrics, multiple ground truths, LLM-as-judge, and rich error analysis. Text-to-SQL systems aim to translate natural language questions into ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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

In addition to delivering quality releases and consistent functionality across these tools and experiences that enable you to efficiently manage and develop with Microsoft SQL Server, we are aiming ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...