I am working on a backend for structuring and submitting data into a ML model. I have 3 questions regarding this process.
- What is the best method to feed the model continuous data (updated every 30m interval)
- What is the best method to deliver the datasets? (There are two that are being compared, should I consolidate the data on my side, or leave that to the model?)
- How should the results be exported from the model and input into my database?
I am asking these questions as a software engineer seeking to bring a data scientist into the project so I can tell them what we can expect our workload to be.
