Description
Data Scientists strive to experiment as quickly, easily, and effectively as possible. The difference between a 30 second local code change and a 10 minute CI/CD pipeline can cost days of productivity through iterations. In this talk, Rappi Data Engineer Gonzalo Diaz and Apache Airflow Committer Daniel Imberman describe a process for building a simple yet scalable data pipeline and massive scalable