DWH Paradigm
- Bill
Inmon's paradigm: Data warehouse is one part of the overall business
intelligence system. An enterprise has one data warehouse, and data marts
source their information from the data warehouse. In the data warehouse,
information is stored in 3rd normal form.
- Ralph
Kimball's paradigm: Data warehouse is the conglomerate of all data marts
within the enterprise. Information is always stored in the dimensional
model.
There
is no right or wrong between these two ideas, as they represent different data
warehousing philosophies. In reality, the data warehouse in most enterprises
are closer to Ralph Kimball's idea. This is because most data warehouses
started out as a departmental effort, and hence they originated as a data mart.
Only when more data marts are built later do they evolve into a data warehouse.
Data Warehouse Environment Architecture
Data Warehouse Environment Architecture
ODS Vs Datawarehouse
Operational Data Store
|
Data Warehouse
|
|
Characteristics:
|
Data
Focused Integration
From
Transaction Processing Focused Systems
|
Subject Oriented
Integrated
Non-Volatile
Time Variant
|
Age Of The Data:
|
Current, Near Term
(Today, Last
Week’s)
|
Historic
(Last Month, Qtrly,
Five Years)
|
Primary Use:
|
Day-To-Day
Decisions
Tactical Reporting
Current Operational
Results
|
Long-Term Decisions
Strategic Reporting
Trend Detection
|
Frequency Of Load:
|
Twice Daily ,
Daily, Weekly
|
Weekly, Monthly,
Quarterly
|
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