Building Making It Happen
Establishing Making-it-Happen as ‘Formal & Measurable’ Business Discipline
  Sign-in         Register
    
   Organization Readiness for Execution Scorecard Business Intelligence Metadata Architecture Scenarios  

Execution-MiH Encyclopedia  →   Enterprise Intelligence  →  SECTION -  BI End-to-End  →  CHAPTER -  Business Intelligence Architecture Scenarios  → 

BI Mixed Data Access

In real world, end user tools access data from various sources.

As you can see from the following diagram, various tools can access data for various purposes from various sources throughout the information delivery chain.

Some of the reasons for this mixed access are:

  • Already existing ties of Staging Area with existing data marts.
  • Production reports being taken out of the normalized area of staging to spare load on Data Warehouse.
  • Overload on a given data mart of data warehouse to necessitate a parallel, but integrated source.

 

   Organization Readiness for Execution Scorecard Business Intelligence Metadata Architecture Scenarios  
 
All Topics in: "Business Intelligence Architecture Scenarios" Chapter
 One tier Data Warehouse →  Two tier Data Warehouse Architecture- Independent Data Marts →  Two tier Data Warehouse Architecture- Staging and Data Warehouse →  Three Tier Data Warehouse -Business Intelligence Architecture →  BI Mixed Data Access →  Business Intelligence Metadata Architecture Scenarios → 
 

Was this page helpful?
If you like it ? share it !
Digg
Digg
Reddit
Reddit
Del.icio.us
Delicious
Google
Google
Live
Live
Facebook
Facebook
Slashdot
Slashdot
Netscape
Netscape
Technorati
Technorati
Stumbleupon
Stumbleupon
Spurl
Spurl
Furl
Furl
Blogmarks
Blogmarks
Yahoo
Yahoo
Plugim
Plugim
Squidoo
Squidoo
BlinkBits
BlinkBits
 
CONTENT ZONE
BI End-to-End

Featured Pages
Always Use Conformed Dimensions
Customer Data Searching and Matching
Business Intelligence Metadata Architecture
OLAP what if Analysis

Make 'Executable' Strategy
Maximize Results
Maximize People
Manage Execution

Featured Pages
Data Warehouse Implementation Deployment
Singular Data Ownership
Aggregation Queries on SCD
Data Quality Assurance Track