Consultas y Transformación Avanzada de Datos
Diseño y Optimización Avanzada de Bases de Datos con SQL y MySQL
Construcción de Base de Datos en MySQL: Terminal, Tablas y Datos Simulados
Transformación de Datos con SQL: De Consultas Simples a Superqueries
Columnas Generadas en SQL
Expresiones Regulares y Slugs en SQL y MySQL: Casos de Uso Reales
Automatización, Reutilización y Eficiencia en Consultas
Vistas y Tablas Virtuales en SQL
Consultas Anidadas y Vistas Materializadas
Triggers y Vistas Materializadas en MySQL (Kinda)
Automatización de Bases de Datos con Triggers en MySQL
Llaves Primarias e Índices
Trabajo con Datos Avanzados (JSON)
Uso de JSON en MySQL: Almacenamiento Eficiente de Datos Estructurados
Búsquedas Avanzadas con JSON en MySQL: Indexación y Optimización
Joins en SQL: Conecta Tablas y Mejora tus Consultas
Motores de Almacenamiento y Encodings
Gestión de Usuarios y Permisos en SQL
Gestión Avanzada y Análisis de Bases de Datos
Information Schema en MySQL: Análisis Interno de tu Base de Datos
Mysqldump
Domina las Migrations: Evoluciona y Gestiona tu Base de Datos con Eficiencia
Optimiza tus Decisiones con Metabase
Database management is a fundamental skill that has evolved significantly over the past few decades. From basic operations to advanced functionality, MySQL offers a robust set of tools that can transform the way we interact with our data. This content explores advanced features that empower our databases, allowing us to create more efficient solutions and make decisions based on accurate, up-to-date information.
This course represents the culmination of years of hands-on experience in the database world. Unlike the fundamentals course, here we will delve into more advanced concepts that will transform your understanding of MySQL and allow you to take advantage of its full potential. It's not just about storing data, it's about making it work intelligently for you.
Among the topics we will cover are:
These insights are applicable not only for developers, but also for data scientists, executives and CTOs who need to understand the capabilities and limitations of their storage systems.
One of the most powerful features of MySQL is the ability to create generated columns. These columns are automatically calculated from existing values in other columns, without the need to store redundant data.
Let's see a practical example with a simple sales table:
CREATE TABLE sales ( id INT AUTO_INCREMENT PRIMARY KEY, date DATE, price FLOAT, quantity INT, total FLOAT GENERATED ALWAYS AS (price * quantity) VIRTUAL);
In this example, the total
column is automatically generated by multiplying price
by quantity
. The fascinating thing is that this column does not occupy disk space, since it is calculated in real time when requested.
We can insert data normally, without worrying about the total
field:
INSERT INTO sales (date, price, quantity) VALUES('2023-06-12', 15.5, 3),('2023-06-12', 20.0, 1),('2023-06-15', 45.5, 1);
When querying the table, MySQL automatically calculates the totals:
SELECT * FROM sales;
This functionality eliminates the need for repetitive calculations in our applications and ensures consistency of the derived data.
Views are stored queries that behave like virtual tables. They are especially useful when we need to frequently execute complex queries or when we want to provide a simplified interface to users.
For example, if we want to regularly analyze daily sales, we could create a view like this:
CREATE VIEW daily_sales ASSELECT date, SUM(total) AS totalFROM salesGROUP BY dateORDER BY date ASC;
Once created, we can query this view as if it were a normal table:
SELECT * FROM sales_daily_sales;
Or even apply additional conditions:
SELECT * FROM sales_daily_sales WHERE total > 45;
Views allow us to encapsulate complexity and provide clean interfaces to access our data, facilitating analysis and decision making.
These advanced MySQL features go beyond simple data storage. They allow you to create databases that are more intelligent, robust and easier to exploit. They transform a simple repository into a powerful decision-making tool.
Key benefits include:
These functionalities allow us to take full advantage of the data we collect in our applications, transforming it into valuable information to make smarter decisions.
Modern databases are much more than simple information containers; they are dynamic tools that can radically transform the efficiency of our systems. As we progress through this course, we will discover how to leverage the full potential of MySQL to create more elegant and effective solutions. What other advanced MySQL features have you used in your projects? Share your experience in the comments.
Contributions 10
Questions 4
Want to see more contributions, questions and answers from the community?