Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data.

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases.

So what enables all this work to take place? One of the central elements is Structured Query Language, or SQL, which has just turned fifty years old. The original SQL paper was first published in ...

Here’s Why That’s a Risky Move Generally, depending on the database in question, extracting useful information from a RDBMS requires the use of a Structured Query Language (SQL).

Previously, the process involved writing complex structured query language (SQL) queries, which restricted analytics to a select group of users and took time.

The widely used Structured Query Language is gaining new life as a standard data access method for Big Data.

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 ...