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.

If you want to be included in the next wave of data-driven technology, learning Structured Query Language (SQL) is essential. As the most popular database language in the world among developers, ...

The SQL query language has been the cornerstone of database technology for decades. But what happens when you bring SQL together with modern generative AI? That’s the question that Google Cloud ...

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

SQL stands for ‘Structured Query Language’. This is basically a declarative language used for storing and retrieving data in a database.

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 ...

Although SQL will continue to be king of the hill for querying structured data, GQL is expected to be a better fit for queries combining data of different types and from different sources.

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 ...