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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.

Creating Edges with addE() in the Gremlin Query Language

Creating Edges with addE() in the Gremlin Query Language Read More...

Applying Visualizations and Practical Examples in the Gremlin

Applying Visualizations and Practical Examples in the Gremlin Read More...

Explaining Vertex Updates and Deletions in the Gremlin Query

Explaining Vertex Updates and Deletions in the Gremlin Query Read More...

Understanding the Basic Command Structure in Gremlin

Understanding the Basic Command Structure in Gremlin Read More...

Retrieving Vertices in Gremlin Query Language

Retrieving Vertices in Gremlin Query Language Read More...

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