20768 Developing SQL Data Models

Inicio:
05-02-2018 / 09:00
Fin:
08-02-2018 / 14:00
Horas:
15
Días:

lunes, miércoles y jueves

Precio:
585€

tlp sql server logoEste curso describe cómo implementar una plataforma de almacenamiento de datos para apoyar una solución de BI. Los estudiantes aprenderán cómo crear un almacén de datos con Microsoft® SQL Server® 2016 y con Azure SQL Data Warehouse, implementar ETL con SQL Server Integration Services, y para validar y limpiar los datos con SQL Server Data Quality Services and SQL Server Master Data Services.

Dirigido a:

Este curso esta destinado a profesionales de las bases de datos que necesiten consegir el rol de Desarrollador de BI para crear soluciones BI empresariales. Entre sus responsabilidades primarias se incluye:

  • Implementación de bases de datos multidimensionales mediante SQL Server Analysis Services
  • Creación de modelos de datos semánticos tabulares para análisis mediante SQL Server Analysis Services

Ademas, este curso tambien le puede servir a analistas de datos.

Objetivos:

  • Describe the components, architecture, and nature of a BI solution
  • Create a multidimensional database with analysis services
  • Implement dimensions in a cube
  • Implement measures and measure groups in a cube
  • Use MDX syntax
  • Customize a cube
  • Implement a tabular database
  • Use DAX to query a tabular model
  • Use data mining for predictive analysis

Contenidos:

Module 1: Introduction to Business Intelligence and Data Modeling

This module introduces key BI concepts and the microsoft BI product suite.

Lessons

  • Introduction to Business Intelligence
  • The microsoft business intelligence platform

Lab : Exploring a BI Solution

  • Exploring a Data Warehouse
  • Exploring a data model

After completing this module, you will be able to:

  • Describe BI scenarios, trends, and project roles.
  • Describe the products that make up the microsoft BI platform.

Module 2: Creating Multidimensional Databases

This module describes how to create multidimensional databases using SQL Server Analysis Services.

Lessons

  • Introduction to multidimensional analysis
  • Creating data sources and data source views
  • Creating a cube
  • Overview of cube security
  • Configure SSAS
  • Monitoring SSAS

Lab : Creating a multidimensional database

  • Creating a Data Source
  • Creating and Modifying a data Source View
  • Creating and Modifying a Cube

After completing this module, you will be able to:

  • Describe considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube
  • Implement security in a multidimensional database.
  • Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
  • Monitor SSAS performance.

  

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Lessons

  • Configuring dimensions
  • Define attribute hierarchies
  • Sorting and grouping attributes
  • Slowly Changing Dimensions

Lab : Working with Cubes and Dimensions

  • Configuring Dimensions
  • Defining Relationships and Hierarchies
  • Sorting and Grouping Dimension Attributes

After completing this module, you will be able to:

  • Configure dimensions
  • Define attribute hierarchies.
  • Implement sorting and grouping for attributes.
  • Implement slowly changing dimensions.

Module 4: Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.

Lessons

  • Working with measures
  • Working with measure groups

Lab : Configuring Measures and Measure Groups

  • Configuring Measures
  • Defining Dimension Usage and Relationships
  • Configuring Measure Group Storage

After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.

Module 5: Introduction to MDX

This module describes the MDX syntax and how to use MDX.

Lessons

  • MDX fundamentals
  • Adding calculations to a cube
  • Using MDX to query a cube

Lab : Using MDX

  • Querying a cube using MDX
  • Creating a Calculated Member

After completing this module, you will be able to:

  • Use basic MDX functions.
  • Use MDX to add calculations to a cube.
  • Use MDX to query a cube.

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

Lessons

  • Introduction to Business Intelligence
  • Implementing key performance indicators
  • Implementing actions
  • Implementing perspectives
  • Implementing translations

Lab : Customizing a Cube

  • Implementing a KPI
  • Implementing an action
  • Implementing a perspective
  • Implementing a translation

After completing this module, you will be able to:

  • Implement KPIs in a Multidimensional database
  • Implement Actions in a Multidimensional database
  • Implement perspectives in a Multidimensional database
  • Implement translations in a Multidimensional database

Module 7: Implementing a Tabular Data Model by Using Analysis Services

This module describes how to implement a tabular data model in Power Pivot.

Lessons

  • Introduction to tabular data models
  • Creating a tabular data model
  • Using an analysis services tabular model in an enterprise BI solution

Lab : Working with an Analysis services tabular data model

  • Creating an Analysis Services Tabular Data Model
  • Configure Relationships and Attributes
  • Configuring Data Model for an Enterprise BI Solution.

After completing this module, you will be able to:

  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution

Module 8: Introduction to Data Analysis Expression (DAX)

This module describes how to use DAX to create measures and calculated columns in a tabular data model.

Lessons

  • DAX fundamentals
  • Using DAX to create calculated columns and measures in a tabular data model

Lab : Creating Calculated Columns and Measures by using DAX

  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Creating a Parent – Child Hierarchy

After completing this module, you will be able to:

  • Describe the fundamentals of DAX
  • Create calculated columns and measures by using DAX

Module 9: Performing Predictive Analysis with Data Mining

This module describes how to use data mining for predictive analysis.

Lessons

  • 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

Lab : Using Data Mining

    Creating a Data Mining Structure and Model
    Exploring Data Mining Models
    Validating Data Mining Models
    Consuming a Data Mining Model
    Using the Excel Data Mining add-in

After completing this module, you will be able to:

  • Describe data mining
  • Use the data mining add-in for Excel
  • Create a custom data mining solution
  • Validate a data mining solution
  • Connect to and consume a data mining solution
Module 1: Introduction to Business Intelligence and Data ModelingThis module introduces key BI concepts and the microsoft BI product suite.Lessons
  • Introduction to Business Intelligence
  • The microsoft business intelligence platform
Lab : Exploring a Data Warehouse

After completing this module, you will be able to:

  • Describe the concept of business intelligence

  • Describe the microsoft business intelligence platform

Module 2: Creating Multidimensional DatabasesThis module describes the steps required to create a multidimensional database with analysis services.Lessons
  • Introduction to multidimensional analysis
  • Creating data sources and data source views
  • Creating a cube
  • Overview of cube security
Lab : Creating a multidimensional database

After completing this module, you will be able to:

  • Use multidimensional analysis

  • Create data sources and data source views

  • Create a cube

  • Describe cube security

Module 3: Working with Cubes and DimensionsThis module describes how to implement dimensions in a cube.Lessons
  • Configuring dimensions
  • Define attribute hierarchies
  • Sorting and grouping attributes
Lab : Working with Cubes and Dimensions

After completing this module, you will be able to:

  • Configure dimensions

  • Define attribute hierarchies.

  • Sort and group attributes

Module 4: Working with Measures and Measure GroupsThis module describes how to implement measures and measure groups in a cube.Lessons
  • Working with measures
  • Working with measure groups
Lab : Configuring Measures and Measure Groups

After completing this module, you will be able to:

  • Work with measures

  • Work with measure groups

Module 5: Introduction to MDXThis module describes the MDX syntax and how to use MDX.Lessons
  • MDX fundamentals
  • Adding calculations to a cube
  • Using MDX to query a cube
Lab : Using MDX

After completing this module, you will be able to:

  • Describe the fundamentals of MDX

  • Add calculations to a cube

  • Query a cube using MDX

Module 6: Customizing Cube FunctionalityThis module describes how to customize a cube.Lessons
  • Implementing key performance indicators
  • Implementing actions
  • Implementing perspectives
  • Implementing translations
Lab : Customizing a Cube

After completing this module, you will be able to:

  • Implement key performance indicators

  • Implement actions

  • Implement perspectives

  • Implement translations

Module 7: Implementing a Tabular Data Model by Using Analysis ServicesThis module describes how to implement a tabular data model in PowerPivot.Lessons
  • Introduction to tabular data models
  • Creating a tabular data model
  • Using an analysis services tabular model in an enterprise BI solution
Lab : Working with an Analysis services tabular data model

After completing this module, you will be able to:

  • Describe tabular data models

  • Create a tabular data model

  • Be able to use an analysis services tabular data model in an enterprise BI solution

Module 8: Introduction to Data Analysis Expression (DAX)This module describes how to use DAX to create measures and calculated columns in a tabular data model.Lessons
  • DAX fundamentals
  • Using DAX to create calculated columns and measures in a tabular data model
Lab : Creating Calculated Columns and Measures by using DAX

After completing this module, you will be able to:

  • Describe the fundamentals of DAX

  • Use DAX to create calculated columns and measures in a tabular data model

Module 9: Performing Predictive Analysis with Data MiningThis module describes how to use data mining for predictive analysis.Lessons
  • Overview of data mining
  • Using the data mining add-in for Excel
  • Creating a custom data mining solution
  • Validating a data mining model
  • Connecting to and consuming a data mining model
Lab : Perform Predictive Analysis with Data Mining

After completing this module, you will be able to:

  • Describe data mining

  • Use the data mining add-in for Excel

  • Create a custom data mining solution

  • Validate a data mining solution

  • Connect to and consume a data mining solution

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