NPQS (Nitor’s Product Quality Services)Data Engineering Testing
Testing Credibility in Data Engineering space
Tested 10+ BI products
Extensive experience in
testing complex DW architecture
Testing across Database, ETL and
reporting tools
70+ ISTQB Certified QA
engineers team
Well defined testing
methodology
Test Automation Tools
Data Engineering Testing Services
Data Integrity Testing
ETL testingData
Validation Testing
OLAP /OLTP Testing
Data Completeness
Testing
Batch Execution
TestingReport Testing
Interface Testing
UI TestingPerformance
TestingSecurity Testing
Functional Testing
Test Data Generation
Data masking
Test Automation
Testing in phases
• ODS Data Model• Field mapping• Data type constraints• Integrity constraints• Parent-Child relationship• Record counts• Random record comparison• Surrogate keys• Error and Audit logging• Rejected Record• Integrated ETL packages
Data source to Operational Data Store
• DW Data Model• Integrity Constraints• Data type constraints• Hierarchy Level Integrity• Derived Columns• Calculated Columns• Record Counts• Null records• Field to Field Test• Data Transformation• Compare transformed data
with expected transformation• Data Aggregation• Reversibility of data from DW
to DS• Data Load confirmation• Initial Load Test• Incremental Load Test• Historical data archival • Connection Strings
Operational Data Store to Data Warehouse • OLAP Design
• Calculated Members• Irregular Hierarchies• Aggregations• Correct Data Filters• Reversibility of Data
Data Warehouse to OLAP
• Reports comply with requirement specification
• Report check (font, color, & format)
• Graph check (type, color, legends & labels)
• Report Export in other formats• Column headings• Report’s Drill down, Drill Up
and Drill through• Correct data displayed on
Reports• Trace data back to the Source• Response time for
Queries ,Users• Authorized user access• User friendliness
Data Warehouse\OLAP to Reports
Test Approach
• Validate DW after it is populated • Identify data related issues at ETL
and Reports• Identify performance bottleneck
• Data Validation• Data Integrity• Data Modeling Testing• Performance Testing• Review mapping documents • Review logs generated by ETL
tools • Validate data in the DW and
reports
• Accept Logical data model• Verify physical data model• Verify DW structure after all
objects are created• Verify sample data populated in
DW using ETL• Refresh all reports
• Review data required for each reports
• Validate new reports against existing reports
• Conduct end to end testing• Thoroughly validate key data
elements identified by business
Acceptance Testing
Integration Testing
System Testing
Database Testing
Benefits to Our Partner’s Customer
Accurate data for decision making
Reduction in the support cost by Test Automation
Increase in the customer
referrals and there by improve
the revenue channels
Flawless product leading to customer
satisfaction
Test Data Generation
Engine
Skilled and certified
dedicated BI testing team
Functional and Business
excellence
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