Implement/Maintain MS SQL 2008 Analysis Services
- Advanced
- 18 and older
- $1,595
- Earn 15,950 reward points
- 33 Wood Avenue S, Iselin, NJ
- over 3 sessions
May 14th
6–9pm EDT
Meets 2 Times
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Class Description
Description
What you'll learn in this sql server training:
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.
At Course Completion
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.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).
Course 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
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
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
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
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
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
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
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
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
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.
At Course Completion
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.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).
Course 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
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
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
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
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
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
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
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
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
Refund Policy
Cancellation / Reschedule by Student
Because we must schedule rooms, ship course materials, assign instructors and provision computer resources well in advance, it is important students alert us ASAP with any cancel/reschedule requests.
Please note the following policies:
- If requested 16 or more calendar days before the class
- Cancellation requests made in this timeframe are eligible for refund less 5% cancellation fee.
- Reschedule requests made in this timeframe will be accommodated if availability exists and will be processed at no additional charge.
- If requested 15 calendar days or less before the class
- Cancellation or Reschedule requests made by the student 15 calendar days or less before the class starts will be charged 100% the course fee and are not entitled to a refund.
Substitutions
- If you are unable to attend your class, a substitute who meets the course prerequisites may attend in your place at no additional charge for the original class title, date and location. If you cannot find a substitute, you will be subject to the class cancellation policy.
Make-up Policy
Students are permitted one (1) Make-Up opportunity to attend an instructor-led class that was paid for but not previously attended for no additional charge.
- Make-Up class registrations are subject to availability and are not entitled to refund.
- Students may not reschedule a Make-up class registration.
- Any no shows or cancellations forfeit their one Make-up opportunity.
Additionally, ONLC reserves the right to retire courses due to lack of demand. Retired classes are not available for Make-Up.
In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.
In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.
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ONLC Training Centers
ONLC Training Centers was founded in 1983 when Jim Palic and Andy Williamson left their positions as mainframe programmers with the Dupont Company to start one of the industry's first computer training companies.
Over thirty years and still growing, ONLC Training Centers is one of the the largest privately...
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ONLC Training Centers
Iselin, New Jersey
33 Wood Avenue S 6th Fl
At Middlesex Essex Turnpike
Iselin, New Jersey 8830 Iselin, New Jersey
33 Wood Avenue S 6th Fl
At Middlesex Essex Turnpike
Iselin, New Jersey 8830
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