As a QA engineer, ensuring the system has realistic data that reflects real-world scenarios is a critical challenge. But what happens when the data platform you rely on doesn’t have a development environment? That was exactly the situation I faced while testing a financial institution's new tiering system.
Our goal was to generate 1 million records to validate the system’s performance and functionality, simulating real customer behavior. However, there was a challenge—the platform that sends the data didn’t have a development environment, meaning we couldn’t directly pull the test data we needed.
Faced with this roadblock, we had to rethink our approach. Instead of relying on existing data, we delved into data generation and built a solution that worked on our terms.
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