Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you have JSON data stored in the database.

To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...

Spark SQL: Apache’s Spark project is for real-time, in-memory, parallelized processing of Hadoop data. Spark SQL builds on top of it to allow SQL queries to be written against data.

SQL Server 2022 introduces CE feedback, which, based on the data collected in the query store, learns which CE model assumptions are valid over time for your queries.

I’ve created a script that monitors a table in a SQL Server database. I’m only interested in one column in the table: TimeStamp. If the maximum (newest) value in TimeStamp is more than 30 ...

Joey on SQL Server Deep Dive into SQL Server 2022's Query Performance Features, Part 2: PSP Optimization Reduce workload times with this handy feature that can benefit every database pro.