Building ELT Pipelines with dbt and Apache Kafka for Real-time Data Lakes
In today’s fast-paced digital landscape, businesses are drowning in data, yet often starved for timely, actionable insights. The ability to process, transform, and analyze data in near real-time is no longer a luxury but a necessity, especially for industries like e-commerce, where customer behavior and market trends shift by the minute. This demand has spurred the evolution of data architectures, with Real-time Data Lakes becoming a cornerstone for modern analytics. Central to building these sophisticated systems are powerful tools like Apache Kafka for data ingestion and dbt (data build tool) for robust data transformation, enabling a highly efficient ELT (Extract, Load, Transform) pipeline.