The Changing Face of ETL

The article explores the shift from traditional data handling methods to event-driven architectures and event streaming platforms. It discusses the blurring lines between analytic systems and transactional systems, emphasizing the importance of real-time data processing for modern applications. The adoption of ETL (Extract, Transform, Load) techniques in broader contexts is highlighted, with a focus on its application to microservices and event-driven architectures. The use of Apache Kafka® and KSQL project as an example of implementing this design pattern is also discussed. The benefits of streaming raw data back into Kafka are outlined, including improved flexibility, real-time accessibility, and reduced complexity in system architecture.