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.

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.

For the past fifty years, SQL has helped us understand, manipulate and use our data to our advantage.

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

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

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 ...

Structured Query Language (SQL) is a proven winner that has dominated for several decades and is currently being aggressively invested in by big data companies and organizations such as Google ...

How to Find All Scheduled Jobs in SQL. Microsoft's SQL Server database software includes a job scheduling system which lets you perform routine business activities such as reporting and database ...

LibreOffice contains a very powerful database tool that is actually quite user friendly. Here's how to create a database query using the Design View tool.