DAU™ Certified Data & Analytics Tester (CDAT)
Issued by
Brightest
Holders of this badge understand the complexity and elements in Business Intelligence and Data & Analytics environment. Earners understand the difference between quality attributes for system requirements and the specific quality attributes applied to data environments. They also understand the effects and implications of privacyknowledge about the complexity of DTAP environments in a BI & DA environment.
- Type Certification
- Level Foundational
Skills
- Agile Approach To BI & DA
- BI & DA Test Techniques
- Big Data
- Business Intelligence
- Completeness Testing
- Data Analytics
- Data Lake
- Data Mart
- Data Mining
- Data Modeling
- Data Profiling
- Data Quality Characteristics
- Data Warehouse
- Data Warehouse Design
- E2E Testing
- ELT-Process
- Encryption Methodologies
- Impact Of Privacy Regulations On Testing In An Analytics Environment
- Impact Of Security Standards On Analytics Testing
- Multidimentional DTAP In A BI Environment
- OLTP Vs. OLAP
- Quality Characteristics (ISO/ICE 25010)
- Report And Dashboard Testing
- Risk-Based Testing
- Test Environments According To DTAP
- Testing And Test Methodologies
- Testing In Data Mining
- Testing Of OLAP Cubes
- Testing The Data Model
- Traditional Approach To BI & DA
- Transformation Testing
- Usage Of Production Data
- Usage Of Reports And Dashboards
Earning Criteria
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Previous experience in testing and business intelligence is recommended. ISTQB CTFL certification is definitely beneficial to understand the testing aspects of the course.
Standards
Brightest's processes are aligned to the global standard ISO/IEC 17024: 2012.