The thematic school on Microservices and Big Data management offers lectures, tutorials, and discussion of use cases addressing theoretical foundations and practical applications related to the synergy between these areas. In fact, microservices enforce the engineering of intelligent and innovative systems supporting Big Data management in a more flexible and suitable manner. It is expected then, that these both areas find an intersection and advance together: on one hand, we have a huge amount of data to be processed; on the other hand we need suitable, flexible, and independent microservices to manage it. Both areas are closely related, also naturally distributed.

This school aims to provide attendants the premier venue to enrich their knowledge on the confluence of these areas. It represents an opportunity to exchange ideas and experiences, analyze, present, and discuss concerning topics and development issues.

We target a mixed public and we aim at mobilizing the mixed competences and backgrounds from our attendants and contributors in order to promote collaborative aspects. Particularly, we expect a wide audience of Master, PhD, and post-doc students, and Practitioners.

Topics of interest:

• Big data architectures
• Big data services
• Micro services
• Serveless
• Data mining
• Studied cases

- Marta Rukoz, Université Paris-Nanterre, LAMSADE, PSL Research University, Université Paris-Dauphine
- Maude Manouvrier, Université Paris-Dauphine, LAMSADE, PSL Research University
- Joyce El Haddad, Université Paris-Dauphine, LAMSADE, PSL Research University
- Sonia Guehis, Université Paris-Nanterre, LAMSADE, PSL Research University, Université Paris-Dauphine
- Yudith Cardinale, Universidad. Simón Bolívar (Venezuela)
- Sana Ben Hamida, Université Paris-Nanterre, LAMSADE, PSL Research University, Université Paris-Dauphine