Course code: MOC 2074« Back

Designing and Implementing OLAP Solutions with Microsoft SQL Server 2000

At the end of the course, students will be able to describe the elements of SQL Server 2000 Analytical Services. Create, maintain, populate and backup data cubes.This course is a leading course into data mining

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AffiliateDurationCatalogue priceHandbook priceITB
Praha5 26 950 CZK included in course price 50
Brno5 26 950 CZK included in course price 50
Bratislava5 675,00 EUR 268,00 EUR 50

Who is the course for

This course is for data analists and IT professionals responsible for design, implementing or administering OLAP solutions OLAP solutions by using Microsoft SQL Server 2000™ Analysis Services.

What we teach you

  • Define the term OLAP and its role within data warehousing.
  • Design multidimensional data marts by using star and snowflake schemas.
  • Recognize the fundamental components of a cube.
  • Understand the architecture of Analysis Services.
  • Create dimensions from relational dimension tables.
  • Understand the many types of dimensions.
  • Utilize various dimension properties and settings.
  • Design OLAP dimensions based on underlying source data.
  • Create cubes by using the Cube Wizard and Cube Editor.
  • Create and manipulate measures.
  • Develop and understand virtual cubes.
  • Design cube storage and aggregations.
  • Update dimensions and cubes when source data changes.
  • Optimize the processing of dimensions and cubes.
  • Create partitions within cubes.
  • Implement simple calculations by using multidimensional expressions (MDX) and calculated members.
  • Use Microsoft Excel 2000 as an OLAP front-end application.
  • Understand how data mining fits within OLAP and the Microsoft data warehousing framework.
  • Employ actions, drillthrough, and writeback for data analysis.
  • Design and implement cube and dimension security.
  • Automate the processing of dimensions and cubes through Data Transformation Services (DTS).
  • Create cubes and virtual cubes based on end-user requirements.

Required skills

  • A basic understanding of database design, administration, and implementation concepts.
  • A satisfactory level of comfort within the Microsoft Windows® 2000 environment.

Teaching methods

Expert instruction with practical examples, computer practice

Teaching materials

The student materials include comprehensive courseware and other necessary materials for this class. All reading materials are in English and are not included in the course price.

Course Outline

Introduction to Data Warehousing and OLAP

  • Introducing Data Warehousing
  • Defining OLAP Solutions
  • Understanding Data Warehouse Design
  • Understanding OLAP Models
  • Applying OLAP Cubes

    Introducing Analysis Manager Wizards

  • Defining Terms
  • Previewing Analysis Manager
  • Preparing to Create a Cube
  • Building the Sales Cube
  • Processing the Cube
  • Viewing the Results

    Understanding Analysis Services Architecture

  • Overview
  • Microsoft Data Warehousing Overview
  • Analysis Services Components
  • Metadata Repository
  • Cube Storage Options
  • Client Architecture
  • Office 2000 OLAP Components

    Building Dimensions Using the Dimension Editor

  • Understanding Dimension Basics
  • Shared vs. Private Dimensions
  • Working with Standard Dimensions
  • Basic Level Properties
  • Working with Parent-Child Dimensions

    Using Advanced Dimension Settings

  • Working with Levels and Hierarchies
  • Working with Time Dimensions
  • Creating Custom Rollups
  • Introducing Member Properties
  • Understanding Virtual Dimensions

    Working with Cubes and Measures

  • Introduction to Cubes
  • Working with Cubes
  • Introduction to Measures
  • Working with Measures
  • Defining Cube Properties
  • Using the Disabled Property

    Case Study - Creating the Store Expense Cube

  • Building the Store Expense Cube
  • Updating the Store Expense Cube

    Managing Storage and Optimization

  • Analysis Server Cube Storage
  • The Storage Design Wizard
  • Analysis Server Aggregations
  • Usage-Based Optimization
  • Optimization Tuning

    Processing Dimensions and Cubes

  • Introducing Dimension and Cube Processing
  • Processing Dimensions
  • Processing Cubes
  • Optimizing Cube Processing
  • Troubleshooting Cube Processing

    Managing Partitions

  • Introducing Partitions
  • Creating Partitions
  • Using Advanced Settings
  • Merging Partitions

    Implementing Calculations Using MDX

  • Understanding Calculated Members
  • Building Calculated Members
  • Creating Non-Measure Calculated Members
  • Using Functions Within Calculated Members
  • Understanding Other Calculation Methods
  • Introducing Solve Order

    Working with Virtual Cubes

  • Understanding Virtual Cubes
  • Obtaining Logical Results
  • Building a Virtual Cube
  • Creating Calculated Members

    Using Excel as an OLAP Client

  • Office 2000 OLAP Components
  • Using Excel PivotTables
  • Using PivotCharts
  • Working with Local Cubes
  • Creating OLAP-Enabled Web Pages

    Using Actions, Drillthrough, and Writeback

  • Creating Actions
  • Performing Drillthrough
  • Understanding Writeback

    Implementing Security

  • Introducing Analysis Services Security
  • Understanding Administrator Security
  • Helping Protect User Authentication
  • Understanding Database Roles
  • Implementing Dimension Security
  • Managing Cube Roles

    Deploying an OLAP Solution

  • Introducing DTS
  • Executing and Scheduling Packages
  • The Analysis Services Processing Task
  • Copying and Archiving OLAP Databases

    Introduction to Data Mining

  • Introducing Data Mining
  • Training a Data Mining Model
  • Building a Data Mining Model with OLAP Data
  • Browsing the Dependency Network

    Case Study - Working with the Foodmart Database

  • Building the Warehouse Cube
  • Building the Sales Cube
  • Building the Warehouse and Sales Virtual Cube
  • Previous courses

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    Next courses

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