Objetivos

O foco deste curso é a criação de soluções de BI corporativos gerenciáveis. Ele Descreve como implementar modelos de dados multidimensionais e tabulares, entregar relatórios com o Microsoft SQL Server Reporting Services, criar painéis de controle com o Microsoft SharePoint Server PerformancePoint Services e descobrir insights de negócios por meio de mineração de dados. Este curso ajuda as pessoas a se prepararem para o exame 70-466.


Nota: Este curso destina-se aos que estão interessados em aprender SQL Server 2012 ou 2014. Abrange os novos recursos do SQL Server 2014, mas também os recursos importantes em toda a plataforma de dados SQL Server.


Público-alvo

Este curso destina-se a profissionais de banco de dados que precisam cumprir um papel de desenvolvedor de inteligência de negócios para criar soluções de relatórios e análise. Entre as principais responsabilidades incluem-se:

  • Implementação de modelos de dados analíticos, tais como cubos OLAP.
  • Relatórios de execução e entrega de relatório de gestão.
  • Criando painéis de desempenho de negócios.
  • Suporte data mining e análise preditiva.


Formação

É parte da Formação MCSE: Data Management and Analytics.


Carga-horária

40 horas | Código M20466


Conteúdo Programático

Module 1: Introduction to Business Intelligence and Data Modeling

  • As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.


Module 2: Creating Multidimensional Databases

  • This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.


Module 3: Working with Cubes and Dimensions

  • This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.


Module 4: Working with Measures and Measure Groups

  • This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.


Module 5: Introduction to MDX

  • This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.


Module 6: Enhancing a Cube

  • This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.


Module 7: Implementing an Analysis Services Tabular Data Model

  • This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.


Module 8: Introduction to DAX

  • This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models.


Module 9: Implementing Reports with SQL Server Reporting Services

  • This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.


Module 10: Enhancing Reports with SQL Server Reporting Services

  • This module describes how to enhance a SQL Server reporting Services report with charts and other visualizations, and how to use parameters to filter data in a report.


Module 11: Managing Report Execution and Delivery

  • This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.


Module 12: Delivering BI with SharePoint PerformancePoint Services

  • InThis module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.


Module 13: Performing Predictive Analysis with Data Mining

  • This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.