Data Projection and Reference in the Gremlin Query Language
Gremlin Query Language Guide: Mastering as(), select(), label(), and by() […]
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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 Aliases for Navigating Complex Graph Traversals in Gremlin
Boost Your Gremlin Queries: Using Aliases for Smarter Graph Traversals
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Exploring Recursive Graph Traversals in the Gremlin Database
Mastering Recursive Graph Traversals in the Gremlin Query Language with
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Unlocking the Power of Aggregation in the Gremlin Database
Gremlin Aggregation Tutorial: How to Use count(), group(), and groupCount()
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Understanding Conditional and Pattern Traversals in the Gremlin
Deep Dive into path(), match(), and where() in Gremlin: Traversal
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