Implementing Streaming ELT with Apache Kafka and dbt for Real-time Data Lakes
In today’s fast-paced digital economy, businesses thrive on data. The ability to collect, process, and analyze data in real-time is no longer a luxury but a necessity, especially for industries like e-commerce, where customer behavior and market trends can shift in an instant. Traditional batch processing methods, which often involve lengthy delays, are increasingly insufficient. This has led to the rise of Streaming ELT (Extract, Load, Transform), a paradigm shift that promises real-time insights from dynamic data lakes.