Structured query language Structured Query Language is also known as SQL. It is used to create queries that interrogate the data held in a relational database. Examples are: ...

Simply put, SQL queries are used to instruct database servers to make changes to relational data (that is, create, modify, delete and read information stored in database tables).

While the tools available to work with SQL are far more extensive and varied, the underlying query language in post-relational systems is easier to master, attendees said.

Relational database-management systems (RDBMS) only model data as a set of tables and columns, carrying out complex joins and self-joins when the dataset becomes more inter-related.

The gist of what's going on is that we have a war for graph database domination, and query language is a key battle to be won. SQL did not arrive at universal adoption overnight. If there is a ...

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 ...

SQL Server 2016 provides new support for working with JSON objects. In a previous column, I discussed how to generate JSON from SQL queries. This column looks at the reverse process: accepting JSON ...

Fauna Query Language is described as a strongly typed database language that combines the ability to express declarative queries and functional business logic in strongly consistent transactions.