1. TESTING A DATA WAREHOUSES
SUBMITTED
TO
DR. HIMANSHU HORA
SUBMITTED
BY
TANMI KAPOOR
&
SHANTANU CHAKRABORTY
M.TECH (Software Engineering)
2. CONTENTS
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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.