Now the second part of the process is how can I transform my data and how can I work with to produce Machine Learning models so I can analyst cases.
This part is already completed in the repo: vasegovi/synapse-demo (github.com) first you have to complete Hand-On challenge to have the information for creating ML model and train data, you will get fun, I’m sure on that, so please go ahead and follow the exercise.
Some take away from that activity, there are different ways to integrate ML models in your azure synapse, you can create them directly from Azure Machine Learning workspace and then using it in synapse or the other side also. There are no right or wrong decisions about in which way you will work with that, a lot of things depend on the company policies, the architect decisions, but here you can find a complete example of how to use this Synapse, Machine Learning and Power BI artifacts where you can start.
And please share with me any feedback, questions, or comments that you might have.