1-800-THE-TREE (1-800-843-8733)
 

SQL Server Analysis Services: Hands-On

Analyzing Data for Business Intelligence

 
Course: 139     Type: Hands-On Training     Duration: 4 Days

Quick Enroll    

You Will Learn How To
  • Leverage SQL Server 2005 Analysis Services to produce Business Intelligence solutions
  • Create cubes as part of a multidimensional data warehouse
  • Extend hierarchies and formulate queries with Multidimensional Expressions (MDX)
  • Perform administrator tasks for backing up, restoring and monitoring cubes
  • Make smarter business decisions with data mining techniques
  • Implement Key Performance Indicators (KPIs) to monitor business objectives

Course Benefits
With the current explosion of data in today's enterprise environment, traditional methods of querying and reporting on information are no longer sufficient. This course provides the skills to analyze and discover trends in your data warehouse. You learn to create On-Line Analytical Processing (OLAP) cubes using Business Intelligence tools while producing an intelligent business strategy for your organization.

Who Should Attend
Business analysts and others who need to analyze data stored in SQL Server databases. A basic knowledge of relational databases is assumed.

Hands-On Training
Throughout this course, you gain extensive experience with SQL Server 2005 Analysis Services. Practical exercises include:
  • Building a data source view
  • Creating and deploying a cube
  • Modifying cube dimensions
  • Navigating hierarchies
  • Establishing relationships in the data model
  • Building complex expressions with MDX
  • Implementing a security policy
  • Forecasting trends with data mining techniques

Course 139 Content
Introduction to Business Intelligence (BI)
  • Defining the business needs
  • Creating an end-to-end solution with BI wizards
  • BI Studio for Analysis Services
  • Pulling data from disparate sources
Building and Modifying an OLAP Cube
Defining fact tables
  • Identifying and selecting available measures
  • Denormalizing techniques
Creating dimensions
  • Implementing a Star and Snowflake Schema
  • Calculating time dimensions with the BI Wizard
Partitioning for optimal performance
  • Choosing between ROLAP, MOLAP and HOLAP
  • Configuring incremental updates
Creating cube perspectives
  • Filtering business-related information
  • Slicing and dicing data
Extending the Cube with Hierarchies
Parent-child relationships
  • Declaring hierarchies
  • Grouping related attributes
  • Equal Areas
  • Clusters
  • Buckets
Creating hierarchies
  • Modifying existing attributes
  • Editing grouping properties
Expanding the BI Data Model
Referencing relationships
  • Converting a dimension to a measure
  • Choosing between dimension data and fact table data
Resolving many-to-many relationships
  • Identifying relationship anomalies
  • Implementing intermediate fact and dimension tables
Traversing the Hierarchies with MDX
Retrieving data with MDX
  • Composing simple MDX queries
  • Manipulating data
  • Navigating hierarchies with parent, child, cousin and ancestor
Formulating MDX calculations
  • Summing multiple measures
  • Calculating gross margins
Administering Analysis Services
Implementing security
  • Creating roles and grouping users
  • Assigning permissions to objects
Controlling data access
  • Preventing access to data sources
  • Giving rights to securables
Performance tuning
  • Monitoring current activity
  • Indexing tables to improve read performance
  • Caching to avoid disk access
Guarding against disasters
  • Backing up the Analysis database with Management Studio
  • Restoring databases
  • Synchronizing databases on multiple servers
Gaining Business Advantage with Data Mining
Finding patterns in your data
  • Correlating business trends
  • Predicting future trends with algorithms
Determining the correct model
  • Choosing between discrete and continuous attributes
  • Analyzing various data mining algorithms
Validating models
  • Training algorithms for optimal results
  • Exploring results with data mining viewers
Monitoring KPIs for Better Business Decisions
Reporting on business objectives with KPIs
  • Establishing business goals
  • Selecting critical performance indicators
  • Implementing KPIs with expressions
  • Running reports based on Analysis Services
Browsing the cube with dashboards
  • Enumerating available client tools
  • Viewing KPIs with SharePoint
  • Encapsulating business trends into a single view

Related Courses
SQL Server is a trademark of Sybase, Inc.
  
 
Request More Info

Salutation

First Name

Last Name

Company

Zip Code

Country
   Codes
Work Phone

Extension

E-mail

A representative will contact you to follow up your request.
Privacy Statement

Save as much as $2,350 on a Triple-Pack!

SQL Server Analysis Services: Hands-On
Upcoming Dates
Jul 29 - Aug 1, 2008
 Washington, DC (Reston, VA)
Aug 19 - 22, 2008
 Chicago (Schaumburg)
Aug 26 - 29, 2008
 Washington, DC (Alexandria, VA)
Sep 2 - 5, 2008
 New York
Sep 9 - 12, 2008
 Ottawa
Sep 23 - 26, 2008
 Toronto
Oct 7 - 10, 2008
 Washington, DC (Rockville, MD)
Oct 21 - 24, 2008
 Los Angeles
Nov 4 - 7, 2008
 Washington, DC (Reston, VA)
Nov 11 - 14, 2008
 Chicago (Schaumburg)

SQL Server Analysis Services: Hands-On
Bring Learning Tree On-Site

Course Tuition
$ 2,650 Standard Tuition
Tuition with a Savings Plan
$ 1,660 10-Day Pass
$ 1,665 Training Passport
$ 1,830 Flex-Pass
$ 2,095 Voucher 10-Pack
$ 2,385 Alumni Gold Discount
$ 2,360 Government Discount
 

 

SQL Server Analysis Services: Hands-On
SQL Server Analysis Services: Hands-On
Participants analyzing KPI data in a dashboard.

CPE 23 Credits 1 Hour(s) College Credit
Customer Service or Enroll: 1-800-843-8733