Fundamentos de Bases de datos
Cómo diseñar bases de datos y hacer queries efectivos
Cómo identificar y organizar datos en bases de datos
Introducción práctica a SQL y bases de datos relacionales
Trabajo Directo con MySQL: Cliente, Servidor y Manejo de Errores
Instalación de MySQL en varios sistemas operativos
Quiz: Fundamentos de Bases de datos
Introducción a Bases de Datos Relacionales
Conceptos básicos de bases de datos: columnas, tuplas y relaciones
Creación de Tablas en MySQL con Tipos de Datos Esenciales
Creación de tablas en MySQL con Primary Key y Timestamp
Normalización y relaciones en bases de datos relacionales
Creación y visualización de bases de datos con DBML y DBDiagram
Quiz: Introducción a Bases de Datos Relacionales
Manipulación de Datos
Cómo crear tablas y utilizar 'Foreign Keys' en MySQL
Crear tablas y establecer llaves foráneas en SQL
Tipos de tablas en una base de datos relacional
Cómo Modificar Tablas en SQL con ALTER TABLE
Cómo Insertar Datos y Manejar Errores en MySQL
Creación Avanzada de una Tabla Products en MySQL
Uso práctico del WHERE en SQL para filtrar datos con precisión
Guía práctica para modificar datos usando UPDATE en SQL
Cómo eliminar datos en SQL: métodos lógicos y físicos
Uso Avanzado del Comando SELECT en SQL
Quiz: Manipulación de Datos
Agrupación de Datos
Funciones agregadoras en MySQL para análisis eficiente de datos
Insertar datos desde otra tabla en MySQL con Insert Into Select
Cómo utilizar Left Join en bases de datos relacionales
Cómo consultar y relacionar tablas en MySQL
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In relational database design and management, a clear understanding of the different types of tables available is essential to maximize performance, maintain data integrity and facilitate efficient application development. Although two main types are traditionally recognized-catalog and operation-there are two other typologies that, based on actual management experience, can provide practical solutions to specific scenarios. Here we explore each of these types, understanding their essential characteristics and real applications in database operations.
Catalog tables are tables that store fixed elements on which daily operations are performed in a system. Examples of information contained in these tables include:
These tables undergo modifications infrequently, usually on a weekly basis, although it may vary depending on the size and dynamics of the business.
On the other hand, operation type tables are highly dynamic and record all transactions or actions performed in real time in a business or application. The main characteristics are:
A clear example would be a table that records each sale produced in a commercial establishment.
In addition to traditional tables, two additional types are identified based on specific needs and industry experience:
These tables have similarities to transaction tables, but include specific so-called "soft" or volatile data, such as variable prices. The specific advantage of this approach is that it avoids future complications by storing at the time of the transaction those values that could vary over time. Its advantages include:
Although slightly less standardized, these tables allow agile handling of frequent changes in some fields without losing the integrity of the fixed data.
Archive tables are significantly less standardized since they store redundant textual representations next to the standardized identifier, with the aim of providing instant and clear accessibility to the operational history. Their main uses are:
These tables, usually super-indexed, are managed with separate storage practices given their tendency to grow considerably in cumulative data weight.
Regardless of the type of table adopted or created, the fundamental key lies in maintaining consistency and consistent documentation from the initial design phases and throughout the entire life cycle of the system. This not only facilitates future modifications and enhancements, but also significantly accelerates the time required to design new functionality and optimizations.
Finally, consider that continuous practice and adaptation to new circumstances will give you the flexibility to develop solutions that are increasingly tailored to the specific needs of your particular situation or system.
If you have additional experiences, other strategies or doubts about these types of database tables, share them with us in comments to continue enriching the collective knowledge.
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