How does stream processing impact the testing strategy in real-time data integration?
- It eliminates the need for testing
- It necessitates testing of data integrity in motion
- It requires specialized tools for testing
- It simplifies the testing process
Stream processing in real-time data integration introduces the need to test data integrity in motion. Unlike traditional batch processing, where data is static, stream processing deals with data in motion, requiring tests to ensure data consistency, accuracy, and completeness as it flows through the system.
Loading...
Related Quiz
- What approach is recommended for dealing with defects that cannot be resolved immediately in ETL testing?
- In ETL testing, what is the primary goal of transformation testing?
- Data loading strategy that involves partitioning data by ________ can optimize performance for large datasets.
- How does data profiling contribute to data validation in ETL processes?
- In cloud-based ETL testing, what is the significance of scalability?