Getting Precise with Gremlin Query Language
Get Precise with Gremlin: Filtering Vertices and Edges Using has(), […]
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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.
Exploring Property Manipulation and Filtering in Gremlin Database
Gremlin Query Language Guide: Property Manipulation and Filtering with property(),
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Connecting Gremlin to Graph Databases Language
Connecting Gremlin to Graph Databases: JanusGraph, Amazon Neptune, Azure Cosmos
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Filtering Graph Data in the Gremlin Query Language
Property-Based Filtering in the Gremlin Query Language for Graph Databases
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Understanding Vertex and Edge Properties in Gremlin
Managing Vertex and Edge Properties in Gremlin: Best Practices and
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