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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 Vertices in the Gremlin Query Language

Creating Vertices in the Gremlin Query Language Read More...

Implementing a Gremlin DSL in the Gremlin Query Language

Implementing a Gremlin DSL in the Gremlin Query Language Read More...

Optimizing Traversal Steps and Pipelines in Gremlin Query

Optimizing Traversal Steps and Pipelines in Gremlin Query Read More...

Implementing Graph Schemas and Labels in Gremlin Query

Implementing Graph Schemas and Labels in Gremlin Query Read More...

Exploring the Property Graph Model in Gremlin Query Language

Exploring the Property Graph Model in Gremlin Query Language Read More...

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