Información General

Duración: 15 horas
Precio: €
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Introducción

This three-day instructor-led course provides existing SQL Server Business Intelligence (BI) professionals with the knowledge and skills to use new and enhanced BI capabilities in SQL Server 2012.

Al terminar el curso

After completing this course, students will be able to:

* Describe key new and enhanced features for BI in SQL Server 2012.

* Use new and enhanced features in SQL Server Integration Services.

* Manage data quality by using SQL Server Data Quality Services.

* Manage master data by using new and enhanced features of SQL Server Master Data Services.

* Use new and enhanced features of SQL Server Reporting Services.

* Create tabular data models with PowerPivot and DAX.

* Implement a tabular data model in SQL Server Analysis Services.

* Use Power View to create interactive data visualizations.

* Integrate Microsoft cloud technologies into a BI solution.

Requisitos previos

Before attending this course, students must have:

* Experience of creating database solutions in SQL Server, including basic Transact-SQL programming.

* Familiarity with data warehousing and BI solutions, including extract, transform, and load (ETL), data modeling, and reporting.

Audiencia

This course is intended for BI professionals with experience of using SQL Server 2008 R2.

Programa

Módulo 1 Introduction to SQL Server 2012 for Business Intelligence

This module provides an overview of how SQL Server 2012 can be used to build BI solutions.

Lecciones

  • Overview of SQL Server 2012 for Business Intelligence
  • SQL Server 2012 for Enterprise Integration Management
  • SQL Server 2012 for Data Warehousing
  • SQL Server 2012 for Data Analysis and Reporting

Módulo 2 New and Enhanced Features in SQL Server Integration Services

This module describes the new and enhanced features in SQL Server Integration Services that can be used to create an ETL solution to load a data warehouse.

Lecciones

  • Using the CDC Control Task for Incremental Data Loads
  • Deploying and Operating SSIS Packages

Módulo 3 Data Quality Services

This module provides an introduction to SQL Server Data Quality Services, and teaches you how to build knowledge based data quality solutions for cleansing and matching data.

Lecciones

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data

Módulo 4 Master Data Services

This module provides an introduction to master data management with SQL Server 2012 Master Data Services.

Lecciones

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Módulo 5 SQL Server 2012 Reporting Services

This module provides an introduction to new and enhanced features in SQL Server 2012 Reporting Services.

Lecciones

  • Reporting Services Overview
  • Reporting Services and Microsoft SharePoint Server
  • Introduction to Data Alerts

Módulo 6 Creating Tabular Data Models with PowerPivot

This module provides an introduction to new and enhanced features in PowerPivot.

Lecciones

  • Introduction to Tabular Data Models and PowerPivot Technologies
  • Using PowerPivot
  • Using DAX in a PowerPivot Data Model

Módulo 7 Implementing an Analysis Services Tabular Data Model

This module describes how to create tabular Analysis Services databases.

Lecciones

  • Introduction to Analysis Services Tabular Data Model Projects
  • Developing an Analysis Services Tabular Data Model

Módulo 8 Creating Data Visualizations with Power View

This module provides an introduction to Power View, and describes how it can be used to create interactive data visualizations.

Lecciones

  • Introduction to Power View
  • Visualizing Data with Power View

Módulo 9 Using Cloud Technologies in a BI Solution

This module introduces Microsoft cloud technologies that can be used in a BI solution.

Lecciones

  • Overview of Cloud Data Sources
  • SQL Azure
  • SQL Azure Reporting Services
  • The Windows Azure Marketplace DataMarket

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