The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...

A common SQL habit is to use SELECT * on a query, because it’s tedious to list all the columns you need. Plus, sometimes those columns may change over time, so why not just do things the easy way? But ...

From ER diagrams to advanced SQL queries, mastering database design unlocks the ability to turn raw data into actionable insights. Practical labs, real-world projects, and optimization techniques help ...

DBeaver is a free, open-source, cross-platform SQL client and database administration tool. It is designed to support a wide variety of SQL and NoSQL databases, including MySQL and PostgreSQL. Its key ...

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 ...

Designing an appropriate set of indexes can be one of the more troubling aspects of developing efficient relational database applications. Perhaps, the most important thing you can do to assure ...

SQL Server 2016 lets you treat JSON objects like rows in a table, allowing you to use data from AJAX queries in joins, updates and any other SQL statement you can think of. SQL Server 2016 provides ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

Dynamic SQL lets you create a query string based off of user input. SQL Server allows you to create dynamic SQL statements. The statements use a SQL string varchar data type, then you execute the ...

Oracle expands its AI push with a new Google Cloud agent enabling natural language database queries as multicloud revenues ...