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Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
Testing a data warehouses
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Testing a data warehouses

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Testing a data warehouses

Testing a data warehouses

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  • 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)

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