Data Engineering

This track focuses on classic and modern data engineering workflows, databases and more. Some talks also discuss pipelines and systems that are tailored to data science and machine learning tasks.

Our speakers will cover high-level architectures, best practices and detailed solutions for designing large scale pipelines and databases, reproducibility of ML experiments, automated deployment of ML models in production, algorithms for optimization of a new generation of databases and continuous data pipeline monitoring.

This track will appeal to hands-on data engineering practitioners who fluidly cross the boundary between development and operations.