A company is integrating data from multiple heterogeneous sources. What ETL testing best practices should be applied to ensure data quality?
- Data Profiling, Metadata Verification, Cross-System Validation, Volume Testing
- Incremental Testing, Unit Testing, Stress Testing, Integration Testing
- Sampling Testing, Front-End Testing, Acceptance Testing, Regression Testing
- Source System Profiling, Parallel Testing, Data Encryption, Data Masking
To ensure data quality in integrating data from multiple sources, ETL testing best practices include Data Profiling, Metadata Verification, Cross-System Validation, and Volume Testing. Data profiling helps understand the characteristics of data, while cross-system validation ensures consistency across different sources.
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