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: ...

SQL, the structured query language, is a programming language for communicating with databases. Variations on SQL are used by some of the most popular database tools in the world, including some ...

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.

With its ability to convert natural language questions into SQL queries, the addition of ChatGPT to the high-performance, real-time Kinetica database makes it possible for business users to obtain ...

Everyone wants faster database queries, and both SQL developers and DBAs can turn to many time-tested methods to achieve that goal. Unfortunately, no single method is foolproof or ironclad. But ...

One of the most common problems when running SQL Servers is slow queries. The help desk or database team usually hears that described as the application is slow or the database is slow. In the ...

This makes interacting with various databases, executing queries, and managing data quite seamless. This article will explore some of the best open-source SQL clients for database management, and ...

SQL injection is a type of attack that can give an adversary complete control over your web application database by inserting arbitrary SQL code into a database query.

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 ...

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.