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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.

Using Procedural Programming in ARSQL Language

Using Procedural Programming in ARSQL Language Read More...

Creating Python UDFs in ARSQL Language

Creating Python UDFs in ARSQL Language Read More...

Creating and Executing Stored Procedures in ARSQL Language

Creating and Executing Stored Procedures in ARSQL Language Read More...

Data Compression Techniques in ARSQL Language

Data Compression Techniques in ARSQL Language Read More...

Unloading Data Using UNLOAD Command in ARSQL Language

Unloading Data Using UNLOAD Command in ARSQL Language Read More...

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