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. For the last three decades, databases and Structured Query ...

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 ...

SQL, an acronym that stands for Structured Query Language, was first introduced in 1973. For the last 50 years, it has been the de facto standard for structured database queries.

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

This relationship allows for efficient querying and retrieval of relevant information based on the assigned roles. In summary, primary keys and foreign keys in SQL, when viewed through the lens of ...

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

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 ...