What You'll Learn

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.

For more information, or to book your place, please call us on + 44 (0) 117 906 5660, start a LiveChat or email us at info@retendotraining.com.

How It Works

Retendo students are more successful at work and easily gain Microsoft certifications

Retendo training programmes are delivered in bite-sized chunks, with an emphasis on practice over theory, and progressing at a pace that suits the individual.

Our courses are split into modules. Each module begins with a live instructor-led class, delivered online by a skilled Microsoft Certified Trainer. The online classes are followed by self-paced study. Learners expand their knowledge using Microsoft Premium e-learning, Microsoft Press Books and online reference material and then apply what they have learnt using practice labs. The module is completed with a short assessment.
Each module includes approximately four hours of study and feedback: a two hour live class and two hours of self study.

Retendo programmes are spread over a number of weeks, with two course modules per week. This ensures that learners have the time required to thoroughly understand each topic. More importantly, they can practice and develop the real-world skills that they require to be good at their job.

Live instructor-led classes

Our instructor-led courses do not require a physical classroom. Instead highly interactive, live, synchronous sessions are delivered online by a Microsoft Certified Trainer. Each session is delivered through a virtual classroom using Webex. Students can see and hear the instructor and speak with others on the course. The audio is delivered using Voice over IP (VoIP) technology so there are no additional telephone charges, students simply need to plug a headset into their computer.

Each live instructor class lasts a maximum of two hours. They are highly interactive: students will learn theories, see live technology demonstrations, carry out group and individual tasks and participate in quizzes and polls. The learning is broken down into short sections, and with the student kit to hand, students can concentrate on participating in the class rather than taking notes.

Self-paced study

After each instructor session, learners will need to complete a couple of hours of self paced study. The aim is to build upon the knowledge gained within the class. Typically, this includes e-Learning and reading from the student manual or online reference sites.

Microsoft Premium e-Learning is high quality electronic material which includes animations, assessments and hands-on interactive learning. The materials are accessed over the internet.
The course manual is posted to each student before the course begins.

Practice labs

Our practical exercises are accessed via the internet. Students use live systems which are hosted in a virtual environment, so they can practice without impacting their own live systems. The exercises take the students through real world scenarios. Students have 90 days access to the labs so they can practice as many times as they like before applying their new skills in the real world.

Assessment and feedback

At the end of each module the students complete a short assessment. This enables the instructor to see how they are progressing. The instructor provides feedback on the results and additional help where it’s required.

The Retendo Learning Portal

The training programme is coordinated via a secure website called the Retendo Learning Portal. This can be accessed from any computer with a broadband connection.
To access the live classes, self-paced study materials and assessments, students simply login to the Retendo Learning Portal. Students can communicate with the instructor and their classmates at any time via the Retendo Learning Portal.

With Retendo, learning doesn’t stop at the end of the programme. Students can access the materials, via the Retendo Learning Portal, for 90 days. This includes recordings of the live online classes and access to the practice labs. So it’s easy to revise for exams or practice an implementation one last time before having a go on the live system.

For more information, or to book your place, please call us on + 44 (0) 117 906 5660, start a LiveChat or email us at info@retendotraining.com.

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

• 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

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

• 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

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

• 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

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

• 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

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

• 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

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

• 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

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

• 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

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

• 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

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

• 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

After completing this module, students will be able to:

• Describe data mining.
• Create a data mining solution.
• Validate data mining models.

For more information, or to book your place, please call us on + 44 (0) 117 906 5660, start a LiveChat or email us at info@retendotraining.com.

Getting Certified

This training programme helps to prepare students for the MCTS SQL Server 2008, Business Intelligence Development and Maintenance certification.

To gain the above certification students must pass Exam 70-448: TS: Microsoft SQL Server 2008, Business Intelligence Development and Maintenance.

Candidates for this exam are responsible for creating business intelligence (BI) solutions by using Microsoft SQL Server 2008 for their organizations. Candidates typically work with the full suite of BI technologies in SQL Server 2008, including Reporting Services, Analysis Services, and Integration Services.

The qualified candidate for this exam typically has:

• One to two years of experience working with the Microsoft .NET Framework
• Two to three years of experience using SQL Server 2005 BI components
• Six months to one year of experience using SQL Server 2008
• Experience using the SQL Server 2008 Business Intelligence Development Studio (BIDS)
• Experience using Microsoft SQL Server Management Studio (SSMS)
• Knowledge of relational and multi-dimensional database schemas
• Experience creating and deploying a cube in SQL Server Analysis Services (SSAS)
• Experience creating and deploying a data mining model in SSAS
• Experience writing relational and multi-dimensional database queries
• Experience creating and deploying SQL Server Reporting Services (SSRS) reports
• Experience authoring and deploying SQL Server Integration Services (SSIS) packages
• Experience debugging, monitoring, and troubleshooting BI solutions

For more information, or to book your place, please call us on + 44 (0) 117 906 5660, start a LiveChat or email us at info@retendotraining.com.

Right For You?

The primary audience for this training programme 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

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).

For more information, or to book your place, please call us on + 44 (0) 117 906 5660, start a LiveChat or email us at info@retendotraining.com.

Ask Us A Question

Live Chat

Why not ask one of our knowledgeable team to answer your question using our Live Chat?

Call Us

Our team are also on standby to answer your questions over the phone. Just call 0117 230 9689 now!