In this session we will look to understand the components and patterns that are required to set your data platform up for success when defining a high-level architecture. At a high-level we will cover areas from ingestion through to transformation and serving and look to identify the key components and architectural considerations required at each stage. During the session we’ll cover areas from security to error handling and metadata-driven execution to give you an understanding of the basics required to put a successful data platform solution together. This session is suitable for anybody that has a basic understanding of the components in the Azure data stack who wants to understand how to put them together to build a best-practice solution.