Testing a data warehouses
Upcoming SlideShare
Loading in...5
×
 

Testing a data warehouses

on

  • 468 views

Testing a data warehouses

Testing a data warehouses

Statistics

Views

Total Views
468
Views on SlideShare
468
Embed Views
0

Actions

Likes
0
Downloads
12
Comments
0

0 Embeds 0

No embeds

Accessibility

Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

Testing a data warehouses Testing a data warehouses Presentation Transcript

  • TESTING A DATA WAREHOUSES Dr. Himanshu Hora SRMS College of Engineering & Technology Bareilly (INDIA)
  • 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
  • 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
  • Data Warehouse Testing: Focus Points 2. Data Warehouse Components
  • 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 Hora SRMS College of Engineering & Technology Bareilly (INDIA)