Using Azure Machine Learning with your modern data warehouse

Machine learning models can help you in many situations to improve business processes. Customer churn, fraud detection, and machine failure predictions are examples of where machine learning can support you in finding answers to tricky questions in a way that you would not, or only with excessive effort, be able to find otherwise.

However, a machine learning model that is not integrated into your daily business routine or one that will only be processed by a specialist on an on-demand basis will not perform with the full efficiency that might be possible.

One of the advantages of Synapse pipelines (and, of course, the Azure Data Factory standalone version as well) is the tight integration with other Azure services. Azure Machine Learning is one of them. Let's use our model from above and integrate it with an Azure pipeline. This will enable you to integrate Azure ML with all the data that you land in your data...