Data Warehouse Testing
Ensure Quality and Reliability at Every Level
Comprehensive testing services that validate data accuracy, pipeline reliability, and warehouse performance. Build trust in your data with rigorous quality assurance.
What is Data Warehouse Testing?
Ensuring trust and reliability in your data
Data warehouse testing is a comprehensive quality assurance discipline that validates every aspect of your data warehouse: the accuracy of data, the reliability of ETL pipelines, the performance of queries, and the integrity of the overall system.
Unlike traditional application testing, data warehouse testing must validate data at scale - billions of rows across hundreds of tables - while ensuring business rules are correctly applied and data relationships are maintained. This requires specialized tools, techniques, and expertise.
Our testing services cover the full spectrum: source-to-target data validation, ETL pipeline testing, business rule verification, performance and load testing, and regression testing for ongoing changes. We implement test automation frameworks that provide continuous quality assurance as your warehouse evolves.
Why Choose DevSimplex for DWH Testing?
Specialized data testing expertise and automation
Data warehouse testing requires specialized skills that differ from traditional software testing. Our QA engineers understand dimensional modeling, ETL patterns, and the unique challenges of validating data at enterprise scale.
We've developed testing frameworks specifically for data warehouses that enable comprehensive validation without the manual effort that makes data testing prohibitively expensive. Our automation approaches achieve 85%+ automation rates while maintaining thorough coverage.
Beyond finding defects, we help you build quality into your processes. We implement testing frameworks, establish quality gates, and train your team on data testing best practices. The result is a sustainable quality program, not just a one-time test effort.
Requirements & Prerequisites
Understand what you need to get started and what we can help with
Required(3)
Test Requirements
Definition of what needs to be tested and acceptance criteria.
Data Access
Access to source systems and data warehouse environments.
Business Rules Documentation
Documentation of transformation logic and business rules.
Recommended(1)
Historical Test Data
Known good data sets for validation and regression testing.
Common Challenges & Solutions
Understand the obstacles you might face and how we address them
Scale of Testing
Impossible to manually test billions of rows.
Our Solution
Automated testing frameworks with intelligent sampling and validation.
Complex Transformations
Business rules difficult to validate systematically.
Our Solution
Rule-based test generation and comprehensive edge case coverage.
Regression Risk
Changes break existing functionality undetected.
Our Solution
Automated regression test suites with continuous execution.
Your Dedicated Team
Meet the experts who will drive your project to success
QA Lead
Responsibility
Leads testing strategy and team coordination.
Experience
10+ years data testing
Data Test Engineer
Responsibility
Develops and executes data validation tests.
Experience
7+ years DWH testing
Test Automation Engineer
Responsibility
Builds automated test frameworks and pipelines.
Experience
5+ years test automation
Performance Test Engineer
Responsibility
Conducts performance and load testing.
Experience
5+ years performance testing
Engagement Model
Dedicated testing team integrated with development workflow.
Success Metrics
Measurable outcomes you can expect from our engagement
Defect Detection
99.9%
Pre-production defect catch
Typical Range
Test Automation
85%+
Automated test coverage
Typical Range
Data Quality
99.5%
Validation pass rate
Typical Range
Cycle Time
70% faster
With automation
Typical Range
Testing Investment ROI
Quality assurance prevents costly production defects and builds data trust.
Production Defects
90% reduction
Within Post-implementation
Data Trust
100%
Within Validated accuracy
Testing Efficiency
70% faster
Within With automation
“These are typical results based on our engagements. Actual outcomes depend on your specific context, market conditions, and organizational readiness.”
Why Choose Us?
See how our approach compares to traditional alternatives
| Aspect | Our Approach | Traditional Approach |
|---|---|---|
| Methodology | Data-specific testing frameworks Appropriate techniques for data validation | Generic software testing |
| Scale | Automated validation at billion-row scale Comprehensive coverage without manual effort | Manual sampling |
| Sustainability | Reusable automation framework Ongoing quality assurance | One-time test effort |
Technologies We Use
Modern, battle-tested technologies for reliable and scalable solutions
Great Expectations
Data validation framework
dbt Tests
Built-in data tests
Python
Test automation
SQL
Data validation queries
Apache JMeter
Performance testing
Ready to Get Started?
Let's discuss how we can help you with testing.