From Data Ingestion to Continuous Monitoring Building the Data Pipeline and Training Environment The first step is to collect clickstream, p

From Data Ingestion to Continuous Monitoring Building the Data Pipeline and Training Environment The first step is to collect clickstream, purchase history, and product catalog data in a reproducible way. Open‑source tools such as Apache Kafka for streaming and dbt for transformation let you define the pipeline as code, so the whole process can be rebuilt in under an hour on a fresh cloud VM. Store the cleaned feature set in a columnar warehouse like Snowflake or DuckDB, then launch a training job in a containerized Jupyter environment. By pinning library versions with a requirements.txt file you guarantee that every...