Complex Data Types in HiveQL Language
A Complete Guide to Complex Data Types in HiveQL Language […]
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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.
Lateral Views and Exploding Arrays in HiveQL Language
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Working with Schemas and Databases in ARSQL Language
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Redshift-Specific Data Types in ARSQL Language
Mastering Redshift-Specific Data Types for Improved Query Performance and Storage
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Supported SQL Syntax in Amazon Redshift
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