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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.

Monitoring Queries and Managing Workloads in ARSQL Language

Monitoring Queries and Managing Workloads in ARSQL Language Read More...

Querying System Tables to Retrieve Metadata in ARSQL Language

Querying System Tables to Retrieve Metadata in ARSQL Language Read More...

Effective User and Group Management in ARSQL Language

Effective User and Group Management in ARSQL Language Read More...

Data Masking and Encryption in HiveQL Database Language

Data Masking and Encryption in HiveQL Database Language Read More...

Managing User Permissions (GRANT, REVOKE) in HiveQL

Managing User Permissions (GRANT, REVOKE) in HiveQL Read More...

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