Modeling event data at scale

Data modeling is key to leveraging your user behavioural data to serve many data use cases across your business, such as marketing attribution, product analytics or recommendations.

However, this type of data’s scale poses challenges to modeling it effectively. This talk will explore the common challenges companies face when modeling hundreds of millions or even billions of events, and how to solve them. We’ll discuss the differences between the cloud data warehouses as well as incrementalization, performance tuning and testing.