Businesses are increasingly seeking to make data-informed decisions. However, there is often uncertainty as to whether so-called actionable insights will be found, and whether their value will offset the up-front cost of finding them! A trick is to understand the typical data-analytics journey, where you are on it, and how to generate value from each step of your way along it. So join me as we go through the typical data analytics journey in a series of examples, from gaining the value from basic descriptive analytics to enabling automated decisions using advanced prescriptive analytics.
Data Factory (ADF), existing data movement and analytics processing services can be composed into data pipelines that are highly available and managed in the cloud. In this demo-driven session, you learn by example how to build, operationalize, and manage scalable analytics pipelines.