Building a multi-purpose end-to-end analytics environment
When you do not know where to start, you should start with the basics. As mentioned previously, Azure Synapse Analytics is a broad platform that combines different services to deliver an end-to-end solution for most analytical demands. This scenario proposes a blueprint that addresses common analytical requirements for most organizations. Some use cases where this blueprint can be used include the following:
- Categorizing users based on their product usage behavior: You can use clustering algorithms on a machine learning model to classify your users based on historical log data that records how they interact with your product. Identifying user cohorts helps companies build more customized experiences for their users.
- Detecting credit card fraud: By performing real-time analysis of data streamed from financial transactions, you can use machine learning models to classify a transaction as fraudulent or legit in just...