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Database Languages

Database languages are specialized programming languages used to define, manipulate, retrieve, and manage data in databases. They play a crucial role in database management systems (DBMS) by enabling users to interact with structured and unstructured data efficiently.

This category covers various database languages, including:

SQL-Based Languages – Standard languages used for relational databases, such as SQL, MySQL, PostgreSQL, PL/SQL, and T-SQL.

NoSQL Query Languages – Languages designed for non-relational databases like MongoDB Query Language (MQL) and Cassandra Query Language (CQL).

Data Definition Languages (DDL) – Used to define database schemas and structures.

Data Manipulation Languages (DML) – Used to insert, update, delete, and retrieve data.

Procedural & Scripting Languages – Such as PL/SQL and T-SQL, which add procedural capabilities to SQL.

Explore this category to understand different database languages, their syntax, and best practices for managing data effectively.

Date and Time Functions in ARSQL Language

Date and Time Functions in ARSQL Language Read More...

Using DISTINCT Keyword in ARSQL Language

Using DISTINCT Keyword in ARSQL Language Read More...

Aggregate Functions in ARSQL Language

Aggregate Functions in ARSQL Language Read More...

Nested Queries in ARSQL Language

Nested Queries in ARSQL Language Read More...

Using GROUP BY and HAVING Clauses in the ARSQL Language

Using GROUP BY and HAVING Clauses in the ARSQL Language Read More...

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