Achieve Fully-automated Data Processing and Machine Learning Orchestration

Building data science solutions for business does not solely rely on the intellectual capacity of data scientists. Besides leveraging their mathematical and analytical skills on models development, data science teams need to effectively address the hardship of: - working with big data sources and unstructured data, - spending too much time on data processing tasks, - deploying the final solution to production and automation. In this talk, we discuss the importance of tools for ETL/ELT and analytics orchestration for unleashing the full potential of data science teams.