There is a vast array of PaaS components in Azure. Azure Data Warehouse, Azure Database, Data Factory, Stream Analytics, Analysis Services, Machine Learning, Blob Storage, Data Lake etc. How do we choose the
right components from this pool to build an architecture that meets the analytics needs of an organisation? What are the key decisions?

Starting from discussing the evolution of the Azure Architecture for an organisation over the course of 2 years, and based on experiences with other clients, we will review pros & cons of alternatives, examine specifically data storage, orchestration, real-time analytics, environment setup options.