In a scenario where a Big Data application is integrated with multiple data sources, what testing approach should be adopted to ensure data consistency and integrity?
- Data Integration Testing, Data Migration Testing, and Data Accuracy Testing
- Functional Testing, Regression Testing, and User Acceptance Testing
- Performance Testing, Load Testing, and Stress Testing
- Scalability Testing, Latency Testing, and Concurrency Testing
Data Integration Testing, Data Migration Testing, and Data Accuracy Testing are crucial when dealing with multiple data sources. This approach ensures that data is integrated seamlessly, migrated accurately, and maintains consistency and integrity across various sources.
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