2. CONTENTS
1.
2.
3.
4.
5.
6.
7.
8.
Data Ware House
Testing Data Warehouses
Data Warehouse Testing Type
Data Warehouse Testing Process
Four Things To Do
Data Warehouse Testing: Focus Points
Data Base Testing vs Data Ware House Testing
Challenges for Testing a Data Warehouse
3. Data Ware House
• “Subject-oriented, integrated, timevarying, non-volatile collection of
data that is used primarily in organizational decision making”
• Historical Data for decision support
• Seperate from organization’s operational databases (OLTP)
4. Testing Data Warehouses
• Organizations today need data warehouse testing more than ever
before.
• Organizations
are
focusing
testing
on
the
ETL
(extraction, transformation, load) process, business intelligence
infrastructures, and applications that rely on data warehouses.
• Check the quality of the data
• Data Completeness: Ensures that all the expected data is loaded
• Data Transformation: Ensures that all data is transformed correctly
according to business rules and/or design specifications.
12. Challenges for Testing a Data Warehouse
• Data selection from multiple source systems.
• Volume and the complexity of the data.
• Inconsistent and redundant data in a data warehouse.
• Non-Availability of comprehensive test bed.
• Critical data for Business.