TESTING A

DATA WAREHOUSES

Dr. Himanshu HoraSRMS College of Engineering & Technology

Bareilly (INDIA)

CONTENTS

1. Data Ware House

2. Testing Data Warehouses

3. Data Warehouse Testing Type

4. Data Warehouse Testing Process

5. Four Things To Do

6. Data Warehouse Testing: Focus Points

7. Data Base Testing vs Data Ware House Testing

8. Challenges for Testing a Data Warehouse

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)

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.

Testing Data Warehouses: Best Practices

Data Warehouse Testing Type

Data Warehouse Testing Process

Four Things To Do

1. Recognizing the importance of testing

2. Planning the phases for testing

3. Planning for QA staffing

4. Avoiding risks

Data Warehouse Testing: Focus Points

1. Underlying Data

2. Data Warehouse Components

Data Warehouse Testing: Focus Points

Data Base Testing vs Data Ware House Testing

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.

Dr. Himanshu HoraSRMS College of Engineering & Technology

Bareilly (INDIA)