Microsoft
Certified Technology Specialist, MCTS, Certification Exam :
Exam 70-448 : TS :
Microsoft SQL Server 2008, Business Intelligence Development and
Maintenance
Course Overview
This Boot Camp combines:
Course 6234 Implementing & Maintaining Microsoft SQL Server 2008 Analysis Servicess,
Course 6235 Implementing & Maintaining Microsoft SQL Server 2008 Integration Services,
and
Course 6236 Implementing & Maintaining Microsoft SQL Server 2008 Reporting Services
to provide comprehensive skills in implementing and
maintaining Microsoft SQL Server Business Intelligence.
MOC 6234 topics: implement an Analysis Services solution in an
organization. The course discusses how to use the Analysis Services
development tools to create an Analysis Services database and an OLAP cube,
and how to use the Analysis Services management and
administrative tools to manage an Analysis Services solution.
MOC 6235 topics: implement an Integration Services solution in an
organization. The course discusses how to develop, deploy, and
manage Integration Services packages.
MOC 6236 topics: implement a Reporting Services solution in an
organization. The course discusses how to use the Reporting Services
development tools to create reports, and how to use the Reporting
Services management and administrative tools to manage a Reporting
Services solution.
Audience
This course is intended for information technology (IT)
professionals and developers who: design and maintain BI
solutions, need to implement reporting solutions and data transfer
or extract, transform, and load (ETL) solutions, by using
Microsoft SQL Server 2008 Analysis, Integration and Reporting Services.
At Course Completion
MOC 6234 topics: After completing this course, students will be able to:
• Describe how SQL Server Analysis Services can be used to
implement analytical solutions.
• Create multidimensional analysis solutions with SQL Server
Analysis Services.
• Implement dimensions and cubes in an Analysis Services
solution.
• Implement measures and measure groups in an Analysis Services
solution.
• Query a multidimensional Analysis Services solution.
• Customize an Analysis Services cube.
• Deploy and secure an Analysis Services database.
• Maintain a multidimensional Analysis Services solution.
• Implement a Data Mining solution.
MOC 6235 topics: After completing this course, students will be able to:
• Describe SQL Server Integration Services and its tools.
• Create an Integration Services package.
• Implement control flow in an Integration Services package.
• Implement data flow in an Integration Services package.
• Implement logging in an Integration Services package.
• Debug and implement error handling in an Integration Services
package.
• Implement checkpoints and transactions in an Integration
Services package.
• Deploy an Integration Services package.
• Manage and secure an Integration Services package.
MOC 6236 topics: After completing this course, students will be able to:
After completing this course, students will be able to:
• Describe SQL Server Reporting Services and its components.
• Create a Reporting Services report.
• Enhance a Reporting Services report.
• Create and manipulate data sets.
• Use report models to implement reporting for business users.
• Configure report publishing and execution settings.
• Implement subscriptions for reports.
• Administer Reporting Services.
• Implement custom Reporting Services applications.
Prerequisites
Before attending this course, students must have:
• Conceptual understanding of OLAP solutions
• Experience
navigating the Microsoft Windows Server environment
• Experience with
Windows services (starting and stopping)
• Experience creating
service accounts and permissions
• Experience with Microsoft SQL Server, including:
SQL Server Agent, SQL Server query language (SELECT, UPDATE, INSERT,
and DELETE), SQL Server System tables, SQL Server accounts (users and permissions).
MOC 6234 Topics Outline
Module 1: Introduction to Microsoft SQL Server Analysis
Services
This module introduces common analysis scenarios and describes
how Analysis Services provides a powerful platform for
multidimensional OLAP solutions and data mining solutions. The
module then describes the main considerations for installing
Analysis Services.
Lessons
• Lesson 1: Overview of Data Analysis Solutions
• Lesson 2: Overview of SQL Server Analysis Services
• Lesson 3: Installing SQL Server Analysis Services
Lab: Using SQL Server Analysis Services
• Exercise 1: (Level 200) Installing SQL Server Analysis
Services
• Exercise 2: (Level 200) Verifying Installation
After completing this module, students will be able to:
• Describe data analysis solutions.
• Describe the key features of SQL Server Analysis Services.
• Install SQL Server Analysis Services.
Module 2: Creating Multidimensional Analysis Solutions
This module introduces the development tools you can use to
create an Analysis Services multidimensional analysis solution,
and describes how to create data sources, data source views, and
cubes.
Lessons
• Lesson 1: Developing Analysis Services Solutions
• Lesson 2: Creating Data Sources and Data Source Views
• Lesson 3: Creating a Cube
Lab: Creating Multidimensional Analysis Solutions
• Exercise 1: (Level 200) Creating a Data Source
• Exercise 2: (Level 200) Creating and Modifying a Data Source
View
• Exercise 3: (Level 200) Creating and Modifying a Cube
After completing this module, students will be able to:
• Develop Analysis Services solutions.
• Create a data source and a data source view.
• Create a cube.
Module 3: Working with Cubes and Dimensions
This module describes how to edit dimensions and to
configure dimensions, attributes, and hierarchies.
Lessons
• Lesson 1: Configuring Dimensions
• Lesson 2: Defining Attribute Hierarchies
• Lesson 3: Sorting and Grouping Attributes
Lab: Working with Cubes and Dimensions
• Exercise 1: (Level 200) Configuring Dimensions
• Exercise 2: (Level 200) Defining Relationships and Hierarchies
• Exercise 3: (Level 200) Sorting and Grouping Dimension
Attributes
After completing this module, students will be able to:
• Configure dimensions.
• Define hierarchies.
• Sort and group attributes.
Module 4: Working with Measures and Measure Groups
This module explains how to edit and configure measures and
measure groups.
Lessons
• Lesson 1: Working With Measures
• Lesson 2: Working with Measure Groups
Lab: Working with Measures and Measure Groups
• Exercise 1: (Level 200) Configuring Measures
• Exercise 2: (Level 200) Defining Dimension Usage and
Relationships
• Exercise 3: (Level 200) Configuring Measure Group Storage
After completing this module, students will be able to:
• Work with measures.
• Work with measure groups.
Module 5: Querying Multidimensional Analysis Solutions
This module introduces multidimensional expressions (MDX)
and describes how to implement calculated members and named sets
in an Analysis Services cube.
Lessons
• Lesson 1: MDX Fundamentals
• Lesson 2: Adding Calculations to a Cube
Lab: Querying Multidimensional Analysis Solutions
• Exercise 1: (Level 200) Querying a Cube by Using MDX
• Exercise 2: (Level 200) Creating a Calculated Member
• Exercise 3: (Level 200) Defining a Named Set
After completing this module, students will be able to:
• Describe Multidimensional Expression (MDX) fundamentals.
• Add calculations to a cube.
Module 6: Customizing Cube Functionality
This module explains how to customize a cube by implementing key
performance indicators (KPIs), actions, perspectives, and
translations.
Lessons
• Lesson 1: Implementing Key Performance Indicators
• Lesson 2: Implementing Actions
• Lesson 3: Implementing Perspectives
• Lesson 4: Implementing Translations
Lab: Customizing Cube Functionality
• Exercise 1: (Level 200) Implementing a KPI
• Exercise 2: (Level 200) Implementing an Action
• Exercise 3: (Level 200) Implementing a Perspective
• Exercise 4: (Level 200) Implementing a Translation
After completing this module, students will be able to:
• Implement Key Performance Indicators (KPIs).
• Implement actions.
• Implement perspectives.
• Implement translations.
Module 7: Deploying and Securing an Analysis Services Database
This module describes how to deploy an Analysis Services
database to a production server, and how to implement security in an
Analysis Services multidimensional solution.
Lessons
• Lesson 1: Deploying an Analysis Services Database
• Lesson 2: Securing an Analysis Services Database
Lab: Deploying and Securing an Analysis Services Database
• Exercise 1: (Level 200) Deploying an Analysis Services Database
• Exercise 2: (Level 200) Securing an Analysis Services Database
After completing this module, students will be able to:
• Deploy an Analysis Services database.
• Secure an Analysis Services database.
Module 8: Maintaining a Multidimensional Solution
This module discusses the maintenance tasks associated with an
Analysis Services solution, and describes how administrators can use
the Analysis Services management tools to perform them.
Lessons
• Lesson 1: Configuring Processing
• Lesson 2: Logging, Monitoring, and Optimizing an Analysis Services
Solution
• Lesson 3: Backing Up and Restoring an Analysis Services Database
Lab: Maintaining a Multidimensional Solution
• Exercise 1: (Level 200) Configuring Processing
• Exercise 2: (Level 200) Implementing Logging and Monitoring
• Exercise 3: (Level 200) Backing Up and Restoring an Analysis
Services Database
After completing this module, students will be able to:
• Configure processing settings.
• Log, monitor, and optimize an Analysis Services solution.
• Back up and restore an Analysis Services database.
Module 9: Introduction to Data Mining
This module introduces data mining, and describes how to
implement data mining structures and models. It then explains
how to validate data model accuracy.
Lessons
• Lesson 1: Overview of Data Mining
• Lesson 2: Creating a Data Mining Solution
• Lesson 3: Validating Data Mining Models
Lab: Introduction to Data Mining
• Exercise 1: (Level 200) Creating a Data Mining Structure
• Exercise 2: (Level 200) Adding a Data Mining Model
• Exercise 3: (Level 200) Exploring Data Mining Models
• Exercise 4: (Level 200) Validating Data Mining Models
After completing this module, students will be able to:
• Describe data mining.
• Create a data mining solution.
• Validate data mining models.
MOC 6235 Topics Outline
Module 1: Introduction to SQL Server 2008 Integration
Services
The students will be introduced to the role that Integration
Services plays in extracting, transforming, and loading data.
The students will also be introduced to the tools that are used
to build and manage Integration Services solutions.
Lessons
• Lesson 1: Overview of SQL Server Integration Services
• Lesson 2: Using Integration Services Tools
Lab: Introduction to SQL Server Integration Services
• Exercise 1: (Level 200) Using the Import and Export Wizard
• Exercise 2: (Level 200) Running an Integration Services Package
After completing this module, students will be able to:
• Describe Integration Services solutions
• Use Integration Services tools
Module 2: Developing Integration Services Solutions
The students will be introduced to the development tasks that
are involved in creating an Integration Services package.
Lessons
• Lesson 1: Creating an Integration Services Solution
• Lesson 2: Using Variables
• Lesson 3: Building and Running a Solution
Lab: Developing Integration Services Solutions
• Exercise 1 (Level 200): Creating an Integration Services
Project
• Exercise 2 (Level 200): Implementing a Package
• Exercise 3: (Level 200) Building and Running an Integration
Services package
After completing this module, students will be able to:
• Create a SQL Server Integration Services solution.
• Use variables.
• Build and run a solution.
Module 3: Implementing Control Flow
The students will be introduced to the tasks and precedence
constraints that can be used to implement control flow in an
Integration Services package.
Lessons
• Lesson 1: Control Flow Tasks
• Lesson 2: Control Flow Precedent Constraints
• Lesson 3: Control Flow Containers
Lab: Implementing Control Flow
• Exercise 1: (Level 200) Creating a Simple Control Flow
• Exercise 2: (Level 200) Configuring Precedence Constraints
• Exercise 3: (Level 200) Using Containers
After completing this module, students will be able to:
• Configure control flow tasks.
• Configure control flow precedence constraints.
• Configure control flow containers.
Module 4: Implementing Data Flow
The students will be introduced to the data flow sources,
transformations, and destinations that can be used to implement
a data flow task in an Integration Services control flow. It
also explains how to use data flow paths to direct valid and
invalid rows through the data flow.
Lessons
• Lesson 1: Data Flow Sources and Destinations
• Lesson 2: Basic Data Flow Transformations
• Lesson 3: Advanced Data Flow Transformations
• Lesson 4: Data Flow Paths
Lab: Implementing Data Flow
• Exercise 1: (Level 200) Transferring Data
• Exercise 2: (Level 200) Implementing Transformations
• Exercise 3: (Level 200) Using Data Viewers
• Exercise 4: (Level 200) Configuring Error Output
After completing this module, students will be able to:
• Implement data flow sources and destinations.
• Implement basic data flow transformations.
• Implement advanced data flow transformations.
• Implement data flow paths.
Module 5: Implementing Logging
The students will be introduced to how to use logging in an
Integration Services package, and explained how to configure and
use logging providers to generate information about a package’s
execution.
Lessons
• Lesson 1: Overview of Integration Services Logging
• Lesson 2: Enabling and Configuring Logging
Lab: Implementing Logging
(Optional)
• Exercise 1: (Level 200) Configuring Logging
• Exercise 2: (Level 200) Implementing Custom Logging
After completing this module, students will be able to:
• Describe Integration Services logging.
• Implement Integration Services logging.
Module 6: Debugging and Error Handling
The students will be introduced to how to debug Integration Services
packages by using the debugging tools in Business Intelligence
Development Studio. It then explains how to implement error-handling
logic in an Integration Services package.
Lessons
• Lesson 1: Debugging a Package
• Lesson 2: Implementing Error Handling
Lab: Debugging and Error Handling
(Optional)
• Exercise 1: (Level 300) Debugging a Package
• Exercise 2: (Level 300) Implementing Error Handling
• Exercise 3: (Level 300) Controlling Failure Behavior
After completing this module, students will be able to:
• Debug an SSIS package.
• Implement error handling.
Module 7: Implementing Checkpoints and Transactions
The students will be introduced to what checkpoints are and how to
implement them. It then discusses transactions, and describes how to
implement transactional data access logic in an Integration Services
package.
Lessons
• Lesson 1: Implementing Checkpoints
• Lesson 2: Implementing Transactions
Lab: Implementing Checkpoints and Transactions
• Exercise 1: (Level 200) Implementing Checkpoints in a Package
• Exercise 2: (Level 300) Implementing Transactions in a Package
• Exercise 3: (Level 300) Implementing a Native Transaction
After completing this module, students will be able to:
• Implement checkpoints.
• Implement transactions.
Module 8: Configuring and Deploying Packages
The students will be introduced to how to create Package
Configurations and how to deploy Integration Services packages to
production servers.
Lessons
• Lesson 1: Package Configurations
• Lesson 2: Deploying Packages
Lab: Configuring and Deploying Packages
• Exercise 1: (Level 200) Creating a Package Configuration
• Exercise 2: (Level 200) Preparing a Package for Deployment
• Exercise 3: (Level 200) Deploying a Package
After completing this module, students will be able to:
• Implement package configurations.
• Deploy packages.
Module 9: Managing and Securing Packages
The students will be introduced to the management tasks that relate
to Integration Services packages and explained how to perform those
tasks by using the Integration Services management tools. It also
describes how to secure Integration Services packages.
Lessons
• Lesson 1: Managing Packages
• Lesson 2: Securing Packages
Lab: Managing and Securing Packages
• Exercise 1: (Level 200) Importing a Package
• Exercise 2: (Level 200) Configuring and Monitoring a Package
• Exercise 3: (Level 200) Scheduling a Package
• Exercise 4: (Level 200) Securing a Package
After completing this module, students will be able to:
• Manage packages.
• Secure packages.
MOC 6236 Topics Outline
Module 1: Introduction to Microsoft SQL Server Reporting Services
The students will be introduced to the role that Reporting
Services plays in an organization’s reporting life cycle, the key
features offered by Reporting Services, and the components that make
up the Reporting Services architecture.
Lessons
• Lesson 1: Overview of SQL Server Reporting Services
• Lesson 2: Installing Reporting Services
• Lesson 3: Reporting Services Tools
Lab: Introduction to Microsoft SQL Server Reporting Services
• Exercise 1: (Level 200) Exploring Report Designer
• Exercise 2: (Level 200) Exploring Report Manager
After completing this module, students will be able to:
• Describe the features of SQL Server Reporting Services.
• Install Reporting Services.
• Describe the Reporting Services tools.
Module 2: Authoring Basic Reports
The students will learn the fundamentals of report
authoring, including configuring data sources and data sets,
creating tabular reports, summarizing data, and applying basic
formatting.
Lessons
• Lesson 1: Creating a Basic Table Report
• Lesson 2: Formatting Report Pages
• Lesson 3: Calculating Values
Lab: Authoring Basic Reports
• Exercise 1 (Level 200): Creating a Basic Table Report
• Exercise 2 (Level 200): Formatting Report Pages
• Exercise 3 (Level 200): Adding Calculated Values
After completing this module, students will be able to:
• Create a basic table report.
• Format report pages.
• Calculate values for a report.
Module 3: Enhancing Basic Reports
The students will learn about navigational controls and some
additional types of data regions, and how to use them to enhance
a basic report.
Lessons
• Lesson 1: Interactive Navigation
• Lesson 2: Displaying Data
Lab: Enhancing Basic Reports
• Exercise 1: (Level 200) Using Dynamic Visibility
• Exercise 2: (Level 200) Using Document Maps
• Exercise 3: (Level 200) Initiating Actions
• Exercise 4: (Level 200) Using a List Data Region
• Exercise 5: (Level 200) Creating a Tablix Report
• Exercise 6: (Level 200) Adding Chart Subreport to Parent
Report
After completing this module, students will be able to:
• Create reports with interactive navigation.
• Display data in various formats.
Module 4: Manipulating Data Sets
The students will explore data sets to a greater depth,
including the use of alternative data sources and interacting
with a data set through the use of parameters. Students will
learn how to dynamically modify the data set underlying a data
region by allowing parameters to be sent to the underlying
query, as well as will learn to use best practices to implement
static and dynamic parameter lists when interacting with queries
and stored procedures.
Lessons
• Lesson 1: Defining Report Data
• Lesson 2: Using Parameters and Filters
• Lesson 3: Using Parameter Lists
Lab: Manipulating Data Sets
• Exercise 1: (Level 200) Using Parameters to Restrict Query
Results
• Exercise 2: (Level 200) Using Parameters to Filter Report Data
• Exercise 3: (Level 200) Creating Dynamic Parameter Lists
• Exercise 4: (Level 200) Using Parameters with a Stored
Procedure
• Exercise 5: (Level 200) Displaying All Categories in a
Parameter List
After completing this module, students will be able to:
• Define report data.
• Use parameters and filters.
• Use parameter lists.
Module 5: Using Report Models
The students will learn how to create a report model so that
business users can create their own reports without using the full
Report Designer development environment. Students will also learn
how to use Report Builder to create a report from a report model.
Lessons
• Lesson 1: Creating Report Models
• Lesson 2: Using Report Builder
Lab: Using Report Models
• Exercise 1: (Level 200) Creating a Report Model
• Exercise 2: (Level 200) Using Report Builder to Create a Report
After completing this module, students will be able to:
• Create Report Models.
• Use Report Builder.
Module 6: Publishing and Executing Reports
The students will learn the various options you can use to
publish reports to the report server and execute them.
Lessons
• Lesson 1: Publishing Reports
• Lesson 2: Executing Reports
• Lesson 3: Creating Cached Instances
• Lesson 4: Creating Snapshots and Report History
Lab: Publishing and Executing Reports
• Exercise 1: (Level 200) Publishing Reports
• Exercise 2: (Level 200) Executing Reports
• Exercise 3: (Level 200) Configuring and Viewing a Cached Report
• Exercise 4: (Level 200) Configuring and Viewing a Snapshot Report
After completing this module, students will be able to:
• Publish reports.
• Execute reports.
• Create cached instances.
• Create snapshots and report history.
Module 7: Using Subscriptions to Distribute Reports
The students will learn how to implement subscriptions so that
you can distribute reports either automatically by e-mail or by
publishing reports to a shared folder.
Lessons
• Lesson 1: Introduction to Report Subscriptions
• Lesson 2: Creating Report Subscriptions
• Lesson 3: Managing Report Subscriptions
Lab: Using Subscriptions to Distribute Reports
(Optional)
• Exercise 1: (Level 200) Creating a Standard Subscription
• Exercise 2: (Level 200) Creating a Data-Driven Subscription
After completing this module, students will be able to:
• Describe report subscriptions.
• Create report subscriptions.
• Manage report subscriptions.
Module 8: Administering Reporting Services
The students will learn how to administer the Reporting Services
server, how to monitor and optimize the performance of the report
server, how to maintain the Reporting Services databases, and how to
keep the system secure.
Lessons
• Lesson 1: Reporting Server Administration
• Lesson 2: Performance and Reliability Monitoring
• Lesson 3: Administering Report Server Databases
• Lesson 4: Security Administration
• Lesson: 5 Upgrading to Reporting Services 2008
Lab: Administering Reporting Services
(Optional)
• Exercise 1: (Level 200) Using Reporting Services Configuration
Manager
• Exercise 2: (Level 200) Securing a Reporting Services Site
• Exercise 3: (Level 200) Securing Items
After completing this module, students will be able to:
• Administer the reporting server.
• Monitor performance and reliability.
• Administer the Report Server databases.
• Administer security.
• Upgrade to Reporting Services 2008.
Module 9: Programming Reporting Services
The students will learn how to query Reporting Services
information programmatically and how to automate report
management tasks. Students will also learn how to render reports
without relying on Report Manager, and how to extend the feature
set of a report server by creating custom code.
Lessons
• Lesson 1: Querying for Server Information Using a Web Service
• Lesson 2: Automating Report Management
• Lesson 3: Rendering Reports
• Lesson 4: Creating Custom Code
Lab: Programming Reporting Services
(Optional)
• Exercise 1: (Level 200) Using URL Access to Display a Report
• Exercise 2: (Level 200) Building a Reporting Services Web Service
Client
• Exercise 3: (Level 200) Using the Report Viewer Control
After completing this module, students will be able to:
• Query server information using a Web service.
• Automate report management.
• Render reports.
• Create custom code.