Empowering big data analytics with polystore and strongly typed functional queries
Annabelle Gillet, Éric Leclercq, Marinette Savonnet, Nadine Cullot · 2020
Polystores are of primary importance to tackle the diversity and the volume of Big Data, as they propose to store data according to specific use cases. Nevertheless, analytics frameworks often lack a uniform interface allowing to fully access and take advantage of the various models offered by the polystore. It also should be ensured that the typing of the algebraic expressions built with data manipulation operators can be checked and that schema can be inferred before starting to execute the operators (type-safe).