From ER diagrams to advanced SQL queries, mastering database design unlocks the ability to turn raw data into actionable insights. Practical labs, real-world projects, and optimization techniques help ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

Single-file T-SQL script that snapshots a SQL Server database's performance signals and schema into one Markdown report, designed to be read by humans and analysed by LLMs such as ChatGPT or Claude.

In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

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 ...

Abstract: The goal of the Cross-domain Text-to-SQL task is to accurately translate natural language questions into executable SQL queries, even when applied to previously unseen databases. Recently, ...

Since the development of the first database management systems (DBMSs) over five decades ago, DBMSs have become the foundation of modern data-intensive applications. However, deploying and maintaining ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, ...

Repeatably the first time I call /inference after the server has been started performance is great, constant 100% CPU. Subsequent calls take about twice as long, CPU activity fluctuates from about 20% ...