Much of the public discourse in Data Science focuses on model optimization (selection of regressors/classifiers, hyperparameter tuning, model training and improvment of the prediction accuracy). Less material is available on using and deploying these trained Machine Learning models in production.
Audit logging for Amazon Redshift
I lately spent a while configuring and analysing the logs for Amazon Redshift warehouse. I am summarizing the experience here so others can achieve the same faster. Amazon Redshift is the analytical data warehouse platform on the AWS cloud, with