In this post I have given various issues or challenges which come across during big data testing executions
- Since it has huge data it requires different platforms to be tested.
- It requires people with good expertise since it involves automation.
- Visualization: it leads to VM latency hence will be slow.
- It requires diverse tools therefore high technology is needed.
- It has no specific tools for end to end.
- It involves complex requirements therefore many test cases and test scenarios will be needed.
- It requires special test environment, due to enormous data size.
- The monitoring solution availability is limited to monitor the data movement.
- There will be security gaps and negligence since huge amount of data cannot be easily maintained and protected.
- There must be a coordination team with high expertise.
- Emotions in data are difficult to handle. For example like and dislike options in apps and also other emotional quotients and patterns are difficult to handle in big data.