During real-time data integration testing, what is critical to assess in terms of data latency?
- Analyzing data latency trends over time
- Ensuring acceptable levels of data latency
- Ignoring data latency as it's not relevant
- Minimizing data latency to zero
In real-time data integration testing, it's critical to assess and ensure acceptable levels of data latency. Data latency refers to the delay between the time data is generated or updated and when it becomes available for consumption or analysis. Testing should focus on verifying that data latency meets the requirements of the system, ensuring timely delivery of data for decision-making processes.
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