20466 Implementing Data Models and Reports with Microsoft® SQL Server®

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This course provides material for:
Microsoft Exam code: 70-466
Certificate: MCSA: SQL Server

Overview

This course 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.

Objectives

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 Data Model in SQL Server Analysis Services.
  • Use DAX to enhance a tabular model.
  • Create reports with Reporting Services.
  • Enhance reports with charts and parameters.
  • Manage report execution and delivery.
  • Implement a dashboard in SharePoint Server with PerformancePoint Services.
  • Use Data Mining for Predictive Analysis.

Audience

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.

Syllabus

Introduction to Business Intelligence and Data Modeling

  • Elements of an Enterprise BI Solution
  • The Microsoft Enterprise BI Platform
  • Planning an Enterprise BI Project
  • Lab : Exploring a BI Solution

Creating Multidimensional Databases

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

Working with Cubes and Dimensions

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

Working with Measures and Measure Groups

  • Working with Measures
  • Working with Measure Groups
  • Lab : Configuring Measures and Measure Groups

Introduction to MDX

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

Enhancing a Cube

  • Working with Key Performance Indicators
  • Working with Actions
  • Working with Perspectives
  • Working with Translations
  • Lab : Customizing a Cube

Implementing an Analysis Services Tabular Data Model

  • Introduction to Analysis Services Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in the Enterprise
  • Lab : Implementing an Analysis Services Tabular Data Model

Introduction to DAX

  • DAX Fundamentals
  • Enhancing a Tabular Data Model with DAX
  • Lab : Using DAX to Enhance a Tabular Data Model

Implementing Reports with SQL Server Reporting Services

  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Publishing and Viewing a Report
  • Lab : Creating a Report with Report Designer

Enhancing Reports with SQL Server Reporting Services

  • Showing Data Graphically
  • Filtering Reports by Using Parameters
  • Lab : Enhancing a Report

Managing Report Execution and Delivery

  • Managing Report Security
  • Managing Report Execution
  • Subscriptions and Data Alerts
  • Troubleshooting Reporting Services
  • Lab : Configuring Report Execution and Delivery

Delivering BI with SharePoint PerformancePoint Services

  • Introduction to SharePoint Server as a BI Platform
  • Introduction to PerformancePoint Services
  • PerformancePoint Data Sources and Time Intelligence
  • Reports, Scorecards, and Dashboards
  • Lab : Implementing a SharePoint Server BI Solution

Performing Predictive Analysis with Data Mining

  • Overview of Data Mining
  • Creating a Data Mining Solution
  • Validating a Data Mining Model
  • Consuming Data Mining Data
  • Lab : Using Data Mining to Support a Marketing Campaign

Training provider

Teaching mode:
Classroom - Instructor Led
Online - Instructor Led
Duration: 5 days
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Top skills covered in this course

Microsoft SQL Server
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