MOC 6234 - Implementing and Maintaining Microsoft SQL Server2008 Analysis Services

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Beschreibung

MOC 6234 - Implementing and Maintaining Microsoft SQL Server2008 Analysis Services : About this Course. 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..
Gerichtet an: About this Course. 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 Profile. The primary audience for this course...

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Alexanderstr. 59, 60489, Hessen, Deutschland
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Pelikanstrasse 13, 30177, Niedersachsen, Deutschland
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Häufig gestellte Fragen

· Voraussetzungen

Before attending this course, students must have:_x000D_
Conceptual understanding of OLAP solutions. _x000D_
Experience navigating the Microsoft Windows Server environment. _x000D_
Experience with Windows services (starting and stopping). _x000D_
Experience creating service accounts and permissions. _x000D_
Experience with Microsoft SQL Server,...

Themenkreis

KURSZIEL
MOC 6234 - Implementing and Maintaining Microsoft SQL Server2008 Analysis Services : About this Course_x000D_

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. _x000D_

_x000D_

Audience Profile_x000D_

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._x000D_

_x000D_

The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization. _x000D_

_x000D_

At Course Completion_x000D_

After completing this course, students will be able to:_x000D_

  • Describe how SQL Server Analysis Services can be used to implement analytical solutions.
  • _x000D_

  • Create multidimensional analysis solutions with SQL Server Analysis Services.
  • _x000D_

  • Implement dimensions and cubes in an Analysis Services solution.
  • _x000D_

  • Implement measures and measure groups in an Analysis Services solution.
  • _x000D_

  • Query a multidimensional Analysis Services solution.
  • _x000D_

  • Customize an Analysis Services cube.
  • _x000D_

  • Deploy and secure an Analysis Services database.
  • _x000D_

  • Maintain a multidimensional Analysis Services solution.
  • _x000D_

  • Implement a Data Mining solution.


  • ZIELGRUPPE
    About this Course_x000D_

    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. _x000D_

    _x000D_

    Audience Profile_x000D_

    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._x000D_

    _x000D_

    The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization. _x000D_

    _x000D_

    At Course Completion_x000D_

    After completing this course, students will be able to:_x000D_

  • Describe how SQL Server Analysis Services can be used to implement analytical solutions.
  • _x000D_

  • Create multidimensional analysis solutions with SQL Server Analysis Services.
  • _x000D_

  • Implement dimensions and cubes in an Analysis Services solution.
  • _x000D_

  • Implement measures and measure groups in an Analysis Services solution.
  • _x000D_

  • Query a multidimensional Analysis Services solution.
  • _x000D_

  • Customize an Analysis Services cube.
  • _x000D_

  • Deploy and secure an Analysis Services database.
  • _x000D_

  • Maintain a multidimensional Analysis Services solution.
  • _x000D_

  • Implement a Data Mining solution.


  • KURSINHALT
    Course Outline_x000D_

    _x000D_

    Module 1: Introduction to Microsoft SQL Server Analysis Services_x000D_

    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._x000D_

    _x000D_

    Lessons _x000D_

  • Overview of Data Analysis Solutions
  • _x000D_

  • Overview of SQL Server Analysis Services
  • _x000D_

  • Installing SQL Server Analysis Services
  • _x000D_

  • Lab : Using SQL Server Analysis Services
  • _x000D_

  • Installing SQL Server Analysis Services
  • _x000D_

  • Verifying Installation
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Describe data analysis solutions.
  • _x000D_

  • Describe the key features of SQL Server Analysis Services.
  • _x000D_

  • Install SQL Server Analysis Services.
  • _x000D_

    _x000D_

    Module 2: Creating Multidimensional Analysis Solutions_x000D_

    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._x000D_

    _x000D_

    Lessons _x000D_

  • Developing Analysis Services Solutions
  • _x000D_

  • Creating Data Sources and Data Source Views
  • _x000D_

  • Creating a Cube
  • _x000D_

  • Lab : Creating Multidimensional Analysis Solutions
  • _x000D_

  • Creating a Data Source
  • _x000D_

  • Creating and Modifying a Data Source View
  • _x000D_

  • Creating and Modifying a Cube
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Develop Analysis Services solutions.
  • _x000D_

  • Create a data source and a data source view.
  • _x000D_

    Create a cube._x000D_

    _x000D_

    Module 3: Working with Cubes and Dimensions_x000D_

    This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies._x000D_

    _x000D_

    Lessons _x000D_

  • Configuring Dimensions
  • _x000D_

  • Defining Attribute Hierarchies
  • _x000D_

  • Sorting and Grouping Attributes
  • _x000D_

  • Lab : Working with Cubes and Dimensions
  • _x000D_

  • Configuring Dimensions
  • _x000D_

  • Defining Relationships and Hierarchies
  • _x000D_

  • Sorting and Grouping Dimension Attributes
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Configure dimensions.
  • _x000D_

  • Define hierarchies.
  • _x000D_

  • Sort and group attributes.
  • _x000D_

    _x000D_

    Module 4: Working with Measures and Measure Groups_x000D_

    This module explains how to edit and configure measures and measure groups._x000D_

    _x000D_

    Lessons _x000D_

  • Working With Measures
  • _x000D_

  • Working with Measure Groups
  • _x000D_

  • Lab : Working with Measures and Measure Groups
  • _x000D_

  • Configuring Measures
  • _x000D_

  • Defining Dimension Usage and Relationships
  • _x000D_

  • Configuring Measure Group Storage
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Work with measures.
  • _x000D_

  • Work with measure groups.
  • _x000D_

    _x000D_

    Module 5: Querying Multidimensional Analysis Solutions_x000D_

    This module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube._x000D_

    _x000D_

    Lessons _x000D_

  • MDX Fundamentals
  • _x000D_

  • Adding Calculations to a Cube
  • _x000D_

  • Lab : Querying Multidimensional Analysis Solutions
  • _x000D_

  • Querying a Cube by Using MDX
  • _x000D_

  • Creating a Calculated Member
  • _x000D_

  • Defining a Named Set
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Describe Multidimensional Expression (MDX) fundamentals.
  • _x000D_

  • Add calculations to a cube.
  • _x000D_

    _x000D_

    Module 6: Customizing Cube Functionality_x000D_

    This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations._x000D_

    _x000D_

    Lessons _x000D_

  • Implementing Key Performance Indicators (KPI)
  • _x000D_

  • Implementing Actions
  • _x000D_

  • Working with Perspectives
  • _x000D_

  • Working with Translations
  • _x000D_

  • Lab : Customizing Cube Functionality
  • _x000D_

  • Implementing a KPI
  • _x000D_

  • Implementing an Action
  • _x000D_

  • Implementing a Perspective
  • _x000D_

  • Implementing a Translation
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Implement Key Performance Indicators (KPIs).
  • _x000D_

  • Implement actions.
  • _x000D_

  • Implement perspectives.
  • _x000D_

  • Implement translations.
  • _x000D_

    _x000D_

    Module 7: Deploying and Securing an Analysis Services Database_x000D_

    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._x000D_

    _x000D_

    Lessons _x000D_

  • Deploying an Analysis Services Database
  • _x000D_

  • Securing an Analysis Services Database
  • _x000D_

  • Lab : Deploying and Securing an Analysis Services Database
  • _x000D_

  • Deploying an Analysis Services Database
  • _x000D_

  • Securing an Analysis Services Database
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Deploy an Analysis Services database.
  • _x000D_

  • Secure an Analysis Services database.
  • _x000D_

    _x000D_

    Module 8: Maintaining a Multidimensional Solution_x000D_

    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._x000D_

    _x000D_

    Lessons _x000D_

  • Configuring Processing
  • _x000D_

  • Logging, Monitoring, and Optimizing an Analysis Services Solution
  • _x000D_

  • Backing Up and Restoring an Analysis Services Database
  • _x000D_

  • Lab : Maintaining a Multidimensional Solution
  • _x000D_

  • Configuring Processing
  • _x000D_

  • Implementing Logging and Monitoring
  • _x000D_

  • Backing Up and Restoring an Analysis Services Database
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Configure processing settings.
  • _x000D_

  • Log, monitor, and optimize an Analysis Services solution.
  • _x000D_

  • Back up and restore an Analysis Services database.
  • _x000D_

    _x000D_

    Module 9: Introduction to Data Mining_x000D_

    This module introduces data mining, and describes how to implement data mining structures and models. It then explains how to validate data model accuracy._x000D_

    _x000D_

    Lessons _x000D_

  • Overview of Data Mining
  • _x000D_

  • Creating a Data Mining Solution
  • _x000D_

  • Validating Data Mining Models
  • _x000D_

  • Lab : Introduction to Data Mining
  • _x000D_

  • Creating a Data Mining Structure
  • _x000D_

  • Adding a Data Mining Model
  • _x000D_

  • Exploring Data Mining Models
  • _x000D_

  • Validating Data Mining Models
  • _x000D_

    After completing this module, students will be able to:_x000D_

  • Describe data mining.
  • _x000D_

  • Create a data mining solution.
  • _x000D_

  • Validate data mining models.


  • VORRAUSSETZUNG
    Before attending this course, students must have:_x000D_

  • Conceptual understanding of OLAP solutions.
  • _x000D_

  • Experience navigating the Microsoft Windows Server environment.
  • _x000D_

  • Experience with Windows services (starting and stopping).
  • _x000D_

  • Experience creating service accounts and permissions.
  • _x000D_

  • Experience with Microsoft SQL Server, including:_x000D_

    - SQL Server Agent._x000D_

    - SQL Server query language (SELECT, UPDATE, INSERT, and DELETE)._x000D_

    - SQL Server System tables. _x000D_

    - SQL Server accounts (users and permissions).
  • _x000D_

    _x000D_

    In addition, it is recommended, but not required, that students have completed:_x000D_

  • Course 6231: Maintaining a Microsoft SQL Server 2008 Database.
  • _x000D_

  • Course 6232: Implementing a Microsoft SQL Server 2008 Database.
  • _x000D_

    _x000D_

    Special Offer:_x000D_

    Free SQL Server 2008 Software Offer_x000D_

    Enroll now and attend any one of eight featured SQL Server 2008 training classes before June 30, 2009, and you will receive (while supplies last) a fully licensed copy of SQL Server 2008 Standard Edition with one client access license (CAL)_x000D_

    _x000D_


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