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Modelado de datos en Power BI: con Power Query y DAX
Paperback
Publisher: Independently Published
Published: May 26 2025
Pages: 470
Weight: 2.38
Height: 0.95 Width: 8.50 Depth: 11.00
Language: Spanish
Este libro es una guÃa completa para dominar el modelado de datos en Power BI, abarcando desde los fundamentos hasta técnicas avanzadas de optimización. Su estructura permite a los lectores avanzar progresivamente en el conocimiento, integrando teorÃa y práctica en cada capÃtulo.
Fundamentos del Modelado de DatosEl libro inicia con una introducción al modelo tabular, explicando su estructura, componentes y cómo acceder a él desde Excel y Power BI. Se presentan los tipos de tablas (dimensión y hechos), la granularidad de los datos y las relaciones entre ellas. Además, se analiza la dirección de filtrado y los distintos esquemas de modelado (estrella, copo de nieve, tabla única).
Se explora Power Query en profundidad, desde su interfaz hasta las mejores prácticas en la manipulación de datos. Se detallan las herramientas para limpiar, transformar y estructurar la información, incluyendo funciones avanzadas como la normalización de fechas y el uso de parámetros para mejorar la flexibilidad del modelo.
Construcción y Diseño del Modelo TabularEl diseño del modelo tabular es clave en cualquier solución de Power BI. En este apartado, se presentan las estrategias para definir relaciones eficientes, evitar errores comunes como relaciones no deseadas o filas huérfanas y crear una tabla calendario desde Power Query. También se comparan los diferentes esquemas para evaluar su impacto en el rendimiento.
DAX: Desde lo Básico hasta el Análisis AvanzadoSe introduce el lenguaje DAX (Data Analysis Expressions), explicando su sintaxis, operadores y la creación de tablas, columnas calculadas y medidas. Se analizan las buenas prácticas en el uso de DAX para mejorar la eficiencia y evitar errores comunes. Además, se profundiza en el concepto de contexto en DAX, clave para comprender cómo se calculan los resultados en Power BI.
Optimización del Modelo: Rendimiento y EficienciaFinalmente, el libro aborda las estrategias de optimización en Power BI, incluyendo el uso del Analizador de rendimiento, herramientas como DAX Studio, y conceptos fundamentales sobre los motores de procesamiento (Formula Engine y Storage Engine). Se presentan técnicas para minimizar el impacto de cálculos innecesarios y mejorar la velocidad de las consultas.
ConclusiónEste libro es una referencia indispensable tanto para principiantes como para expertos que buscan llevar su conocimiento del modelado de datos en Power BI a un nivel superior. Con ejemplos prácticos y explicaciones detalladas, se convierte en una herramienta esencial para cualquier analista de datos o profesional que trabaje con Power BI.
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