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