Classification: External Hi,
I have a use case involving calculating the lifetime order count of a customer in real-time. To reduce the memory footprint, I plan to run a batch job on stored data every morning (let's say at 5 am) to calculate the total order count up to that moment. Additionally, I aim to deploy a Flink job that can provide the updated order count in real-time after 5 am reading from Kafka in real time. Is it possible for this job to understand both the data from the batch job and the new order count to provide a consistently accurate total count? Please let me know if you have solved this use case earlier or any idea on how to proceed.
