Summary: Analytical data warehouse is the system that gathers data from a wide range of sources and consolidate them to inform decision-making in large organisations. In recent year, companies are moving over from traditional, on-premise architectures to cloud-based architectures such as Amazon Web Services. This can bring a number of advantages such as cost, scalability, and performance. In this talk, I will introduce some architectural ideas that can be leveraged by an enterprise on AWS to build and monitor their entire, end-to-end ETL cycle.

Bio: Ross is a data engineer developing analytical data warehouse at Zopa. He has a PhD from the University of Edinburgh in Experimental Particle Physics, a field that first spurred his interest in big data. Prior to Zopa he worked at the BAE Systems as a data analyst.