Integrating dbt with Real-Time Data Streams: Challenges and Solutions

In the rapidly evolving world of data analytics, the need for real-time data processing and analytics has become increasingly crucial for businesses seeking to make timely, informed decisions. This shift towards real-time data necessitates the integration of traditional data transformation tools like dbt (data build tool) with streaming platforms such as Apache Kafka or AWS Kinesis. While dbt excels in batch processing, adapting it to a streaming context presents unique challenges and opportunities. In this post, we’ll explore these challenges and the innovative solutions that can be employed to integrate dbt effectively with real-time data streams.