Azure Machine Learning and Azure Synapse Analytics
Azure Machine Learning and Azure Synapse Analytics can work hand in hand as they solve different problems. You use Azure Synapse Analytics for your modern data warehouse to make a unified data pipeline for your disparate data sources and eventually model and serve that data for a client consumer. Azure Machine Learning on the other hand, is used to create a machine learning model that can eventually be used for your applications to create meaningful inferences (assumptions).
A practical example of using Azure Machine Learning and Azure Synapse Analytics together could be in a physical retail store. Azure Synapse Analytics can aggregate multiple data sources such as beacon and CCTV data (unstructured), NoSQL databases, and SQL databases, then query them all to serve meaningful reports for Power BI such as "number of goods sold versus audience traffic." Using Azure Machine Learning on the other hand, you can run through...
