Implementing and maintaining Microsoft SQL Server 2008 analysis services (MOC 6234)

Lokacije
Hewlett Packard
This 3-day instructor-led course teaches students how to implement an Analysis Services solution in an organization.

Course number HG797S

Delivery method
Remotely assisted instructional learning (RAIL)
Instructor-led training (ILT)
Onsite dedicated training (OST)

Special notes
Elements of this syllabus are subject to change.

Course overview
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.

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)

Audience
The primary audience for this course is individuals who design and maintain business intelligence solutions for their organization. These individuals work in environments where databases play a key role in their primary job and may perform database administration and maintenance as part of their primary job responsibilities.The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization.

Course objectives
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

Course outline

Module 1: Introduction to Microsoft SQL Server Analysis Services

Lessons:

  • Overview of Data Analysis Solutions
  • Overview of SQL Server Analysis Services
  • Installing SQL Server Analysis Services

Lab: Using SQL Server Analysis Services

  • (Level 200) Installing SQL Server Analysis Services
  • (Level 200) Verifying Installation

Module 2: Creating Multidimensional Analysis Solutions

Lessons:

  • Developing Analysis Services Solutions
  • Creating Data Sources and Data Source Views
  • Creating a Cube

Lab: Creating Multidimensional Analysis Solutions

  • (Level 200) Creating a Data Source
  • (Level 200) Creating and Modifying a Data Source View
  • (Level 200) Creating and Modifying a Cube

Module 3: Working with Cubes and Dimensions

Lessons:

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

Lab: Working with Cubes and Dimensions

  • (Level 200) Configuring Dimensions
  • (Level 200) Defining Relationships and Hierarchies
  • (Level 200) Sorting and Grouping Dimension Attributes

Module 4: Working with Measures and Measure Groups

Lessons:

  • Working with Measures
  • Working with Measure Groups

Lab: Working with Measures and Measure Groups

  • (Level 200) Configuring Measures
  • (Level 200) Defining Dimension Usage and Relationships
  • (Level 200) Configuring Measure Group Storage

Module 5: Querying Multidimensional Analysis Solutions

Lessons:

  • MDX Fundamentals
  • Adding Calculations to a Cube

Lab: Querying Multidimensional Analysis Solutions

  • (Level 200) Querying a Cube by Using MDX
  • (Level 200) Creating a Calculated Member
  • (Level 200) Defining a Named Set

Module 6: Customizing Cube Functionality

Lessons:

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

Lab: Customizing Cube Functionality

  • (Level 200) Implementing a KPI
  • (Level 200) Implementing an Action
  • (Level 200) Implementing a Perspective
  • (Level 200) Implementing a Translation

Module 7: Deploying and Securing an Analysis Services Database

Lessons:

  • Deploying an Analysis Services Database
  • Securing an Analysis Services Database

Lab: Deploying and Securing an Analysis Services Database

  • (Level 200) Deploying an Analysis Services Database
  • (Level 200) Securing an Analysis Services Database

Module 8: Maintaining a Multidimensional Solution

Lessons:

  • Configuring Processing
  • Logging, Monitoring, and Optimizing an Analysis Services Solution
  • Backing Up and Restoring an Analysis Services Database

Lab: Maintaining a Multidimensional Solution

  • (Level 200) Configuring Processing
  • (Level 200) Implementing Logging and Monitoring
  • (Level 200) Backing Up and Restoring an Analysis Services Database

Module 9: Introduction to Data Mining

Lessons:

  • Overview of Data Mining
  • Creating a Data Mining Solution
  • Validating Data Mining Models

Lab: Introduction to Data Mining

  • (Level 200) Creating a Data Mining Structure
  • (Level 200) Adding a Data Mining Model
  • (Level 200) Exploring Data Mining Models
  • (Level 200) Validating Data Mining Models
Certifikati:
  • Upis u radnu knjižicu: ne
  • Certifikat: ne
  • Uvjerenje: ne
  • In-house: ne
  • Svjedodžba: ne
  • Diploma: ne