In a hyperconnected world and a few days before the application of the GDPR, the question of the ownership and monetization of personal data is in the limelight. The right for everyone to put a price tag on their own information seems unavoidable in the long run.

Join the journey of a data scientist on the way to industrialization... From notebook to proof of concept, from proof of concept to production, we will cover what happened at Air France. It won’t be golden rules, but a true story. What is exactly industrializing data science? How to package data science models? How to articulate data scientists and data engineers roles? Is continuous integration a wild dream for data scientists? This journey will feed you with key concepts which worked at Air France, and might give you a new light to guide you through your own data science journey. Pauline Ballereau - Air France & Nicolas Laille - Xebia https://dataxday.fr/

Data lineage is defined as a data life cycle that includes the data’s origin sand where it moves over time. It has become a crucial component of any data centric company, whether for documentation, regulatory compliance, data quality or business impact assessment. This talk will offer an overview of the different approaches to construct and visualize metadata and data lineage in a Big Data environment. Matthieu Blanc - Zeenea More information : https://www.zeenea.com https://dataxday.fr/