Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...
Abstract: The growing volume of performance-critical parameters in distributed storage systems, coupled with diverse and dynamic workload patterns, has significantly increased the complexity of system ...
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 ...
Update 7/31/25 4:10pm PT: Hours after this article was published, OpenAI said it removed the feature from ChatGPT that allowed users to make their public conversations discoverable by search engines.
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, ...
At Microsoft Build 2025, we announced the public preview of SQL Server 2025. Built on a foundation of best-in-class security, performance, and availability, SQL Server 2025 empowers customers to ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?
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 ...