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: ...

1. Introduction: Two Evolutionary Paths to Data Democratization In the wave of digital transformation for enterprises, data analysis capability has become the core of competitiveness. However, ...

Structured query language (SQL) is often required for data science, coding and other tech industry jobs. Because SQL is one of the most common programming languages used in working with databases ...

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

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

For example, Oracle uses the Procedural Language/Structured Query Language (PL/SQL) and Microsoft uses Transact-SQL to extend the functionality provided by the ANSI specifications.

Structured Query Language (SQL) is a powerful and essential tool for working with relational databases. Whether you’re a beginner or looking to enhance your SQL skills, ChatGPT can be a valuable ...

Natural language queries made to the database are routed through ChatGPT's API to produce a SQL query syntax that can be run to generate results, Kinetica says.

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 ...