Duración
15 horas
Introducción
El enfoque de este curso es la creación de soluciones administradas de BI empresarial. Describe cómo implementar modelos de datos multidimensionales y tabulares y cómo crear cubos, dimensiones, medidas y grupos de medida
Objetivos
- Describir los componentes, la arquitectura y la naturaleza de una solución de BI
- Crear una base de datos multidimensional con Analysis Services
- Implementar dimensiones en un cubo
- Implementar medidas y medir grupos en un cubo
- Usar sintaxis MDX
- Personalizar un cubo
- Implementar una base de datos tabular
- Utilizar DAX para consultar un modelo tabular.
Temario
- Introduction to Business Intelligence and Data Modeling
- Introduction to Business Intelligence
- The Microsoft business intelligence platform
- Creating Multidimensional Databases
- Introduction to Multidimensional Analysis
- Creating Data Sources and Data Source Views
- Creating a Cube
- Overview of Cube Security
- Configure SSAS
- Monitoring SSAS
- Working with Cubes and Dimensions
- Configuring Dimensions
- Defining Attribute Hierarchies
- Sorting and Grouping Attributes
- Slowly Changing Dimensions
- Working with Measures and Measure Groups
- Working with Measures
- Working with Measure Groups
- Introduction to MDX
- MDX fundamentals
- Adding Calculations to a Cube
- Using MDX to Query a Cube
- Customizing Cube Functionality
- Introduction to Business Intelligence
- The Implementing Key Performance Indicators
- Implementing Actions
- Implementing Perspectives
- Implementing Translations
- Implementing a Tabular Data Model by Using Analysis Services
- Introduction to Tabular Data Models
- Creating a Tabular Data Model
- Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
- Introduction to Data Analysis Expression (DAX)
- DAX Fundamentals
- Using DAX to Create Calculated Columns and Measures in a Tabular Data Model
- Performing Predictive Analysis with Data Mining
- Overview of Data Mining
- Creating a Custom Data Mining Solution
- Validating a Data Mining Model
- Connecting to and Consuming a Data-Mining Model
- Using the Data Mining add-in for Excel
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