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Ingeniería Analítica Con Dbt: GUÍA DEL USUARIO: Una guía práctica y moderna para crear modelos de datos fiables y listos para producción: desde la pri
Paperback
DatabasesGeneral ComputersProgramming
Publisher: Independently Published
Published: Aug 24 2026
Pages: 104
Weight: 0.58
Height: 0.22 Width: 8.50 Depth: 11.00
Language: Spanish
Qué pasaría si pudieras crear modelos de datos fiables y listos para producción sin perderte en complejos flujos de trabajo de ingeniería de datos?
Qué pasaría si finalmente pudieras comprender cómo encaja dbt en el stack de datos moderno y utilizarlo para transformar datos sin procesar en conjuntos de datos fiables, documentados, probados y listos para el análisis?
Qué pasaría si pudieras pasar de escribir consultas SQL aisladas a desarrollar sistemas analíticos con la estructura, las pruebas, el control de versiones y las prácticas de colaboración utilizadas por los equipos de datos modernos?
GUÍA DEL USUARIO DE ANALYTICS ENGINEERING CON DBT es una guía práctica y moderna diseñada para ayudarte a comprender la ingeniería analítica y utilizar dbt para crear flujos de trabajo fiables de transformación de datos desde cero. Tanto si eres principiante y estás explorando la ingeniería analítica, como si eres analista de datos y quieres ampliar tus conocimientos técnicos, o si aspiras a convertirte en ingeniero de analítica o de datos, este libro te ofrece un camino claro desde los conceptos fundamentales hasta las prácticas de desarrollo del mundo real.
En lugar de abrumarte con teoría abstracta, esta guía se centra en cómo funcionan las cosas y cómo aplicarlas. Aprenderás cómo encaja dbt en un stack de datos moderno, cómo organizar proyectos de transformación, cómo convertir conjuntos de datos sin procesar en modelos analíticos útiles y cómo crear flujos de trabajo más fáciles de probar, mantener, documentar y desarrollar en equipo.
En su interior, explorarás temas prácticos como:
Comprender la ingeniería analítica y el papel de dbt
Configurar y navegar por un proyecto de dbt
Conectar dbt con tu almacén de datos
Escribir y organizar modelos de transformación basados en SQL
Crear modelos de datos reutilizables y fáciles de mantener
Comprender las fuentes, los modelos de staging, los modelos intermedios y los marts
Añadir pruebas de datos para mejorar la fiabilidad y la confianza
Crear documentación y comprender el linaje de datos
Utilizar Jinja y las macros de dbt para hacer que las transformaciones sean más flexibles
Trabajar con modelos incrementales y mejorar el rendimiento
Gestionar dependencias y paquetes reutilizables de dbt
Utilizar Git y flujos de trabajo de desarrollo colaborativo
Crear flujos de trabajo de CI/CD para análisis en producción
Gestionar entornos y flujos de trabajo de implementación
Aplicar prácticas de gobernanza y calidad
Comprender cómo encaja dbt en el stack de datos moderno preparado para la IA
Tanto si estás comenzando tu primer proyecto con dbt como si buscas aportar mayor estructura y fiabilidad a tus flujos de trabajo analíticos actuales, este libro está diseñado para ayudarte a desarrollar los conocimientos prácticos necesarios para trabajar con confianza en la transformación moderna de datos.
Al finalizar, tendrás una comprensión más clara de la ingeniería analítica, los flujos de trabajo con dbt, el modelado de datos, las pruebas, la documentación, la colaboración y las prácticas de producción, así como de cómo todas estas piezas trabajan juntas para crear productos de datos fiables.
Crea mejores modelos. Prueba tus datos. Documenta tu trabajo. Colabora con confianza. Convierte datos sin procesar en análisis fiables con dbt.
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