Data & ML projects bring many new complexities beyond the traditional software development lifecycle.
Unlike software projects, after they were successfully delivered and deployed, they cannot be abandoned but must be continuously monitored if model performance still satisfies all requirements.
Furthermore, we can always have new data with new structural and/or statistical characteristics that can break our pipelines or alter model performance.
During this webinar Emanuele Viglianisi, Data Engineer at Runtastic will show how Runtasic is using CI/CD templates during their day to day development to run, test and deploy their pipelines directly from PyCharm IDE to Databricks.
Emanuele will present the challenges Runtastic has faced and how they successfully solved them by integrating the CI/CD template in their workflow.