In this presentation, I will introduce Azure Synapse architecture, its components, and features to all stages of data implementation and processing moreover understanding some best practices and pitfalls. Will explain in details the three methods for distributing data (round-robin (default), hash and replicated). From ingesting to data lakes to transform data in big data services to apply machine learning models, including data remodeling. Demo a full implementation of Azure Synapse all the way to presentation and reporting.