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Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services Maidenhead

  • Price £1,225.00
  • Duration 3 day(s)
All major credit cards accepted

Description

This three-day instructor-led course teaches students how to 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.

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.

Prerequisites

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).

Skills

Delegates will learn how 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 Content

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: Installing SQL Server Analysis Services
Exercise 2: Verifying Installation
                                                                                                                                                                          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: Creating a Data Source
Exercise 2: Creating and Modifying a Data Source View
Exercise 3: Creating and Modifying 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: Configuring Dimensions
Exercise 2: Defining Relationships and Hierarchies
Exercise 3: Sorting and Grouping Dimension 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: Configuring Measures
Exercise 2: Defining Dimension Usage and Relationships
Exercise 3: Configuring Measure Group Storage
 

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: Querying a Cube by Using MDX
Exercise 2: Creating a Calculated Member
Exercise 3: Defining a Named Set
 

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: Implementing a KPI
Exercise 2: Implementing an Action
Exercise 3: Implementing a Perspective
Exercise 4: Implementing a Translation
 

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: Deploying an Analysis Services Database
Exercise 2: Securing 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: Configuring Processing
Exercise 2: Implementing Logging and Monitoring
Exercise 3: Backing Up and Restoring 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: Creating a Data Mining Structure
Exercise 2: Adding a Data Mining Model
Exercise 3: Exploring Data Mining Models
Exercise 4: Validating Data Mining Models

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Address4 Cordwallis Park
Cookham Road
Maidenhead
SL6 7BZ
Phone01423 790107