Designing and administering data cubes using ProClarity (Course Code: 1292)

Course Schedule:

Please call 8622 8900 or email us for further information

Overview:

This course is designed to provide a comprehensive exposure to the concepts of cubes and measures used in data warehousing, as well the use of ProClarity, a leading toolset for data analysis and presentation, to design build and share data cubes.

Learning method:

Instructor led.
Participants will work through hands-on practical sessions and exercises in a PC equipped laboratory.

Who will benefit from this course?

  • Data analysts
  • DBA’s wishing to extend their skill set
  • OLAP designers

Pre-requisites:

Familiarity with OLAP databases and data warehousing concepts would be helpful but is not mandatory.

What can you expect to gain from this course?

  • A thorough understanding of OLAP concepts
  • Proficiency in designing and building data warehouses
  • Skills in the use of Business Intelligence enhancements to improve the application of standard cubes

Course Content:

Module 1:AS 2005 overview
  • Reviewing AS 2005 architecture
  • Reviewing DW architecture
  • Reviewing AS 2005 features and services
  • Exercise/Discussion
Module 2:Introduction to cube design
  • Why good schema design is important
  • Creating a database
  • Defining the difference between ‘data source’ and ‘data view’
  • Creating a cube
  • Creating a dimension
  • Definition of a measure group
  • Creating a perspective
  • Process of building and deploying the cube
  • Viewing a cube through ProClarity
  • Exercise/Discussion
Module 3:Advanced cube design concepts
  • Discussion of the value of keys
  • Creating time dimensions
  • Creating business intelligence enhancements
  • Creating actions
  • Reviewing distinct counts
  • Creating linked items
  • Browsing data using ProClarity
  • Exercise/Discussion
Module 4:Calculations, sets, and KPI's
  • Creating calculated members
  • Leveraging sets in your solution
  • Creating KPIs to add visualisation to your data
  • Using BLS to maximize the cube usefulness
Module 5:Visualization with ProClarity
  • Viewing AS 2005 (briefing book and notes provided)
  • Integrating ProClarity with reporting services
  • PAS administration
  • Exercise/Discussion
Module 6:Processing and storage
  • Discussing and creating processing options
  • Creating diagram aggregations
  • Adjusting usage based optimisation
  • Discussion into storage modes
  • Evaluating proactive caching (real time)
  • Set-up write-back
  • Exercise/Discussion
Module 7:Security
  • Security architecture
  • Instance level security
  • Server role (fixed)
  • OLAP database administrator
  • Discussion on security database objects
Module 8:Deployment
  • Archiving and restoring cube data
  • Managing development to production environments
  • Using profiler to monitor query access
  • Dimension data security
  • Integrating ProClarity products with AS 2005 security
  • Exercise/Discussion