Developing SQL Data Models with Microsoft SQL Server 2016 (20768)

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Nível Intermédio | 21 horas | Laboral: 3 dias | Pós-Laboral: 6 dias

Apresentação

Com foco na criação de soluções de BI para organizações, este curso dedicado a SQL Server dota os profissionais das competências fundamentais para implementar modelos de dados multi-dimensionais e tabulares, e para criar cubos, dimensões, medidas e grupos de medidas. 

The focus of this course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam 70-768.

Destinatários

  • The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions.
  • Primary responsibilities will include:
  • Implementing multidimensional databases by using SQL Server Analysis Services
  • Creating tabular semantic data models for analysis by using SQL Server Analysis Services
  • Objetivos
  • After completing this course, students will be able to:
  • 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

Pré-requisitos

  • Before attending this course, students must have:
  • Experience of querying data using Transact-SQL

Programa

  • Introduction to Business Intelligence and Data Modeling
  • Creating Multidimensional Databases
  • Working with Cubes and Dimensions
  • Working with Measures and Measure Groups
  • Introduction to MDX
  • Customizing Cube Functionality
  • Implementing a Tabular Data Model by Using Analysis Services
  • Introduction to Data Analysis Expression (DAX)
  • Performing Predictive Analysis with Data Mining

Pedido de Informação