Clickstream data, which records user interactions on websites, is crucial for understanding user behavior and improving website engagement. Analyzing this data can reveal trends and patterns, allowing businesses to make timely adjustments. The article discusses using Redpanda, a Kafka-compatible streaming data platform, and Decodable, a managed data platform, to build a real-time data pipeline for analyzing clickstream data. By setting up a Redpanda cluster and using Decodable to define SQL-based transformations, users can create a system that processes and aggregates clickstream data efficiently. The process involves generating mock clickstream data, utilizing Docker for deployment, and employing ngrok for internet accessibility. The pipeline facilitates real-time insights, enabling applications such as live dashboards or machine learning features. The combination of Redpanda and Decodable simplifies stream processing, making it as straightforward as writing SQL queries.