The document discusses testing of data warehouses. It notes that organizations need data warehouse testing more than ever to check data quality, completeness, and correct transformations. The document outlines different types of data warehouse testing and the testing process. It emphasizes planning testing phases and staffing as well as avoiding risks. Key focus points in testing include underlying data and data warehouse components. The document also compares database testing to data warehouse testing and notes challenges of testing including data selection from multiple sources and inconsistent data.

1. TESTING
A
DATA WAREHOUSES
Dr. Himanshu Hora
SRMS College of Engineering & Technology
Bareilly (INDIA)

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.

5. Testing Data Warehouses: Best Practices

6. Data Warehouse Testing Type

7. Data Warehouse Testing Process

8. Four Things To Do
1. Recognizing the importance of testing
2. Planning the phases for testing
3. Planning for QA staffing
4. Avoiding risks

9. Data Warehouse Testing: Focus Points
1. Underlying Data

10. Data Warehouse Testing: Focus Points
2. Data Warehouse Components

11. Data Base Testing vs Data Ware House Testing

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.

13. Dr. Himanshu Hora
SRMS College of Engineering & Technology
Bareilly (INDIA)