20466 Implementing Data Models and Reports with Microsoft SQL Server

The focus of this 5-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.

Overview

The focus of this 5-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft SQL Server Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.

Prerequisites

Participants who wish to take up 20466 Implementing Data Models and Reports with Microsoft SQL Server should meet the following prerequisites:

At least two years experience of working with relational databases including:

  • Designing a normalized database
  • Creating tables and relationships
  • Querying with Transact-SQL
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas)
  • Some exposure to basic programming constructs (such as looping and branching)
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable

Who Should Attend?

This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include:

  • Implementing analytical data models, such as OLAP cubes
  • Implementing reports, and managing report delivery
  • Creating business performance dashboards
  • Supporting data mining and predictive analysis

Course Outline

  • Introduction to Business Intelligence
  • The Microsoft Enterprise BI Platform

Lab: Exploring a BI Solution

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security

Lab: Creating a Multidimensional Database

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies

Lab: Working with Cubes and Dimensions

  • Working with Measures
  • Working with Measure Groups

Lab: Configuring Measures and Measure Group

  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Lab: Using MDX

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Lab: Customizing a Cube

  • Introduction to Analysis Services Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab: Implementing an Analysis Services Tabular Data Model

  • DAX Fundamentals
  • Using DAX Create calculated Columns and Measures in Tabular Data Model

Lab: Creating Calculated Columns and Measures by using DAX

  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Showing Data Graphically
  • Filtering Reports Using Parameters

Lab: Creating a Report with Report Designer

  • Managing Report Security
  • Managing Report Execution
  • Delivering Reports with Subscriptions and Data Alerts
  • Troubleshooting Reporting Services

Lab: Implementing Report Subscriptions

  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning for PerformancePoint Services

Lab: Implementing PerformancePoint Services

  • 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 Data Mining Data

Lab: Using Data Mining to Support a Marketing Campaign

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