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Data Warehouse Architecture Inmon or Kimball
● DW Architecture
● How do we choose ?
● Bill Inmon
● Ralph Kimball
● Or some variant ?
Data Requirements
● What do your users need ?
Data Requirements
● What do your users need ?
● Can the the various groups agree ?
Data Requirements
● What do your users need ?
● Can the the various groups agree ?
● Do they have a time scale in mind ?
Data Requirements
● What do your users need ?
● Can the the various groups agree ?
● Do they have a time scale in mind ?
● Does your chief information officer
have a time scale and budget set ?
These points will influence your approach
What does Bill Inmon say ?
● One large integrated warehouse
schema
What does Bill Inmon say ?
● One large integrated warehouse
schema
● Longer to deliver and more expensive
What does Bill Inmon say ?
● One large integrated warehouse
schema
● Longer to deliver and more expensive
● No big bang, iterative approach
What does Bill Inmon say ?
● One large integrated warehouse
schema
● Longer to deliver and more expensive
● No big bang, iterative approach
● Top down approach based upon
organisation
What does Bill Inmon say ?
● One large integrated warehouse
schema
● Longer to deliver and more expensive
● No big bang, iterative approach
● Top down approach based upon
organisation
● Could feed departmental data marts
What does Bill Inmon say ?
● One large integrated warehouse
schema
● Longer to deliver and more expensive
● No big bang, iterative approach
● Top down approach based upon
organisation
● Could feed departmental data marts
● More complex
What does Ralph Kimball say ?
● Based on data marts, small subject
based schemas
What does Ralph Kimball say ?
● Based on data marts, small subject
based schemas
● Based on what user communities
want
What does Ralph Kimball say ?
● Based on data marts, small subject
based schemas
● Based on what user communities
want
● Quicker to deliver
What does Ralph Kimball say ?
● Based on data marts, small subject
based schemas
● Based on what user communities
want
● Quicker to deliver
● Later combine datamarts into
warehouse
What does Ralph Kimball say ?
● Based on data marts, small subject
based schemas
● Based on what user communities
want
● Quicker to deliver
● Later combine datamarts into
warehouse
● Dimensional modelling
What does Ralph Kimball say ?
● Based on data marts, small subject
based schemas
● Based on what user communities
want
● Quicker to deliver
● Later combine datamarts into
warehouse
● Dimensional modelling
● Based upon star schema's
What does Ralph Kimball say ?
● Kimball data bus
move data to staging and clean
then populate data marts from staging
must have conformed dimensions
What does Ralph Kimball say ?
● Kimball data bus
move data to staging and clean
then populate data marts from staging
must have conformed dimensions
● Approach
select business process
determine the granularity
choose dimensions
identify facts
Ralph Kimball versus Bill Inmon Comparison
Kimball
Need Immediate Longer time scale
Drive Business areas Enterprise
Budget Smaller budget Larger budget
Requirements Volatile More stable and growing
Customer User base Corporate
Sources Stable Changeable
Lower Higher
Projects Same cost as start up Cheaper than start up
Inmon
Startup cost
User Involvement
● Keep your users informed
● Make them a part of the process
● Under stand their needs
● Consider setting up user forums
● Consider having power users
● Consider sending out news letters and
updates
● Your project could fail if the users drift away !
Periodically ask the users, does the solution
meet your needs ?
Want to know more ?
● Thank you for taking the time to check this
presentation
● Please check our web site below
● Please feel free to ask any question that you
might have
Semtech Solutions Ltd
www.semtech-solutions.co.nzwww.semtech-solutions.co.nz
Email info@semtech-solutions.co.nz

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Data warehouse inmon versus kimball 2

  • 1. Data Warehouse Architecture Inmon or Kimball ● DW Architecture ● How do we choose ? ● Bill Inmon ● Ralph Kimball ● Or some variant ?
  • 2. Data Requirements ● What do your users need ?
  • 3. Data Requirements ● What do your users need ? ● Can the the various groups agree ?
  • 4. Data Requirements ● What do your users need ? ● Can the the various groups agree ? ● Do they have a time scale in mind ?
  • 5. Data Requirements ● What do your users need ? ● Can the the various groups agree ? ● Do they have a time scale in mind ? ● Does your chief information officer have a time scale and budget set ? These points will influence your approach
  • 6. What does Bill Inmon say ? ● One large integrated warehouse schema
  • 7. What does Bill Inmon say ? ● One large integrated warehouse schema ● Longer to deliver and more expensive
  • 8. What does Bill Inmon say ? ● One large integrated warehouse schema ● Longer to deliver and more expensive ● No big bang, iterative approach
  • 9. What does Bill Inmon say ? ● One large integrated warehouse schema ● Longer to deliver and more expensive ● No big bang, iterative approach ● Top down approach based upon organisation
  • 10. What does Bill Inmon say ? ● One large integrated warehouse schema ● Longer to deliver and more expensive ● No big bang, iterative approach ● Top down approach based upon organisation ● Could feed departmental data marts
  • 11. What does Bill Inmon say ? ● One large integrated warehouse schema ● Longer to deliver and more expensive ● No big bang, iterative approach ● Top down approach based upon organisation ● Could feed departmental data marts ● More complex
  • 12. What does Ralph Kimball say ? ● Based on data marts, small subject based schemas
  • 13. What does Ralph Kimball say ? ● Based on data marts, small subject based schemas ● Based on what user communities want
  • 14. What does Ralph Kimball say ? ● Based on data marts, small subject based schemas ● Based on what user communities want ● Quicker to deliver
  • 15. What does Ralph Kimball say ? ● Based on data marts, small subject based schemas ● Based on what user communities want ● Quicker to deliver ● Later combine datamarts into warehouse
  • 16. What does Ralph Kimball say ? ● Based on data marts, small subject based schemas ● Based on what user communities want ● Quicker to deliver ● Later combine datamarts into warehouse ● Dimensional modelling
  • 17. What does Ralph Kimball say ? ● Based on data marts, small subject based schemas ● Based on what user communities want ● Quicker to deliver ● Later combine datamarts into warehouse ● Dimensional modelling ● Based upon star schema's
  • 18. What does Ralph Kimball say ? ● Kimball data bus move data to staging and clean then populate data marts from staging must have conformed dimensions
  • 19. What does Ralph Kimball say ? ● Kimball data bus move data to staging and clean then populate data marts from staging must have conformed dimensions ● Approach select business process determine the granularity choose dimensions identify facts
  • 20. Ralph Kimball versus Bill Inmon Comparison Kimball Need Immediate Longer time scale Drive Business areas Enterprise Budget Smaller budget Larger budget Requirements Volatile More stable and growing Customer User base Corporate Sources Stable Changeable Lower Higher Projects Same cost as start up Cheaper than start up Inmon Startup cost
  • 21. User Involvement ● Keep your users informed ● Make them a part of the process ● Under stand their needs ● Consider setting up user forums ● Consider having power users ● Consider sending out news letters and updates ● Your project could fail if the users drift away ! Periodically ask the users, does the solution meet your needs ?
  • 22. Want to know more ? ● Thank you for taking the time to check this presentation ● Please check our web site below ● Please feel free to ask any question that you might have Semtech Solutions Ltd www.semtech-solutions.co.nzwww.semtech-solutions.co.nz Email info@semtech-solutions.co.nz