Stewart Bryson dispels misconceptions around what “streaming ETL” means, and explains why event streaming and event-driven architectures compel us to rethink old approaches.

When it comes to data modeling, Dani Traphagen covers importance business requirements, including the need for a domain model, practicing domain-driven design principles, and bounded context. She also discusses the attributes of data modeling: time, source, key, header, metadata, and payload, in addition to exploring the significance of data governance and lineage and performing joins.

Neil Avery explores the intersection between FaaS and event streaming applications, the pros and cons of FaaS, important considerations when building streaming applications and five rules that will help you understand how FaaS fits with the event streaming application.