This example is a clear simple example of ML Ops which takes data from a service then applies concats the data to a Spark Database. The cron-add.py file in the data-ops folder is a placeholder for a live application. The spark-server is an application that receives auth 2.0 and will perform applications if auth'd. Pretty simple huh. Hopefully. This is a monorepo of sorts that works well with any CI/CD tooling. This is a clear cut example to get you running with ML Ops for a single ML model prediction model that trains against a Spark SQL database.
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