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Introduction to Microsoft Business Intelligence from SQL 2008 through SharePoint and Office 2007

Course 50236B: Four days; Instructor-Led

 

About this Course

 

This instructor-led course provides students with the knowledge and skills to develop Microsoft End-to-End business solutions using SQL Server 2008 in an integrated environment with SharePoint and Office 2007. The course introduces the students to Microsoft Unified Data Model, SQL 2008 Analysis Services, Integration Services, Reporting Services, Report Builder 2.0, SharePoint 2007 Integration, Reporting Services Content Types, Business Data Catalog, Excel Web Services, and Business Intelligence with Excel 2007 and Visio 2007.

 

Audience Profile

 

This course is intended for DBAs, Developers and Business Intelligence Professionals seeking an introduction to the Microsoft BI Stack whether for new or existing projects or migration to the Microsoft environment.

 

At Course Completion

 

After completing this course, students will be able to:

·         Describe the Microsoft Business Intelligence stack.

·         Explain the Unified Dimension Model and when it can and cannot be used.

·         Use the new Business Intelligence Features in SQL 2008.

·         Create a SSAS Project using the Microsoft Unified Dimension Model.

·         Create a Data Mart using Business Intelligence Studio.

·         Create a Integration Services project  and load a Data Mart.

·         Load a Data Mart from a flat file.

·         Model Dimensions, Measures and Cubes.

·         Understand the pros and cons of Integration into SharePoint.

·         Create a Report using Report Builder 2.0.

·         Load and Manage Reports with SharePoint.

·         Understand and Create a Shared Service Provider in SharePoint.

·         Understand and Create a Business Data Catalog in SharePoint.

·         Set permissions on objects within SharePoint.

·         Utilize the Business Intelligence add-ins for Excel 2007.

 

Prerequisites

Before attending this course, students must have:

·         A working knowledge of RDBMS.

·         A working knowledge of Business Intelligence Studio.

·         A working knowledge of Excel and the Office Ribbon.

·         Understanding of the goals of Business Intelligence.

 

Course Outline

Module 1: Course Overview

This module explains how the class will be structured and introduces course materials and additional administrative information.

Lessons

·         Introduction

·         Course Materials

·         Facilities

·         Prerequisites

·         What We'll Be Discussing

Module 2: Overview of the Microsoft BI Stack

 

Lessons

·         The Goal of Business Intelligence 

·         Key Concepts

·         Key Components

·         SharePoint Report Center

·         Office 2007

·         Common Business Challenges in BI

Module 3: Unified Data Model

 

Lessons

·         UDM Defined

·         User Experience: Relational vs. UDM

·         Advantages

·         Trouble in River City

Lab : Unified Data Model

  • Creating a Data Mart using Business Intelligence Development Studio
  • Enabling Table Compression

Module 4: SharePoint and Business Intelligence

 

Lessons

  • What is SharePoint?
  • What Does SharePoint Bring to the BI?
  • Key SharePoint Concepts
  • SharePoint or WSS?
  • SharePoint Architecture
  • Content Types
  • Solutions
  • Features

Lab : SharePoint and Business Intelligence

  • Setting up A Report Center
  • Shared Service Provider

Module 5: New BI Features in SQL 2008

 

Lessons

  • Integration Services/Analysis Services/Reporting Services
  • Performance Enhancements
  • Programmability Enhancements
  • Architectural Enhancements
  • Usability Enhancements

Lab : New BI Features in SQL 2008

·                     Explore Some Of The New Features

Module 6: SSIS Major Components

 

Lessons

  • Major Components
  • New or Changed Features
  • Script Task
  • Samples

Lab : SSIS Projects

  • Create A SSIS Project
  • Add a Data Source
  • Create A Data Flow
  • Create Another Data Flow
  • Load Data via a SQL Statement

Module 7: SSIS ETL

 

Lessons

  • SSIS and ETL
  • Transformers
  • Best Practices 1
  • Best Practices 2

Lab : SSIS ETL

  • Populating the Fact Table
  • Loading Manufacturing Facts
  • Handling Errors
  • Inventory Fact Flow

Module 8: SSAS Key Concepts

 

Lessons

  • Key Concepts
  • Schemas
  • Measures
  • Dimensions

Lab : SSAS Key Concepts

  • Define an OLAP Cube
  • Working with Measures and Measure Groups
  • Time and Hierarchies
  • Relating Dimensions
  • Build Deploy and Browse the Cube

Module 9: SSAS Cube Details

 

Lessons

  • Cube Processing
  • Partitions
  • Proactive Caching
  • Aggregations

Lab : SSAS Cube Details

  • Multiple Partitions
  • Set Storage
  • Design Aggregations
  • Default Members

Module 10: SQL Server Reporting Services

 

Lessons

  • Integration with SharePoint
  • Report Builder 2.0
  • Differences Between Environments
  • Tablix
  • Charts

Lab : SQL Server Reporting Services

·         SSRS Projects Report Wizard

·         SSRS SMDL

·         Report Builder 2.0

Module 11: SharePoint Business Data Catalog

 

Lessons

·         The BDC

·         Special BDC Only Web Parts

·         Application Definition Files

Lab : SharePoint Business Data Catalog

·         Use a BDC Application

·         Explore BDC Web Parts

·         Use a BDC List

Module 12: SharePoint Integrated Security and Report Management

 

Lessons

·         Understanding SharePoint Security

·         Report Content Types

·         Report Subscriptions

·         Workflows

·         Reports Library

·         Business Web Parts

Lab : SharePoint Integrated Security and Report Management

·         Examine Permissions

·         Set Shared Schedule for Subscriptions

·         Manage Data Connections

·         Set up a Subscription

Module 13: Excel Web Services

 

Lessons

·         Excel Web Access

·         Excel Web Services

·         User Defined Function

Lab : Excel Web Services (Optional)

·         Excel Web Access

·         Excel Web Services

·         User Defined Function

Module 14: Excel 2007 and Data Mining BI

 

Lessons

·         Key Terms in Data Mining

·         Types of Data Mining Algorithms

·         The Algorithms

·         Excel and The BI Extensions

·         Visio 2007

Lab : Excel 2007 and Data Mining BI

·                     Utilize the Excel Data Mining Tools

Additional Reading

To help you prepare for this class, review the following resources:

·         The Microsoft Data Warehouse Toolkit by Ralph Kimbal

·         Smart Business Intelligence Solutions with Microsoft SQL Server2008

·         Microsoft SQL Server 2008 Analysis Services Unleashed

Before attending this course, students must have:

·         A working knowledge of RDBMS.

·         A working knowledge of Business Intelligence Studio.

·         A working knowledge of Excel and the Office Ribbon.

·         Understanding of the goals of Business Intelligence.

 

 

Solutient Corporation of Ohio

www.solutient.com

6133 Rockside Road, Suite 100 – Cleveland, OH  44131

 

FOR MORE INFORMATION, CALL 216-654-0025