Advances in Databases and Information Systems

The success stories of the database technology keep companies continuously demanding more and more efficient services related to two principal entities: data and queries. The services dedicated to data concern mainly the following tasks: collecting, cleaning, filtering, integration, sharing, storing, transferring, visualizing, analyzing, securing. Regarding queries, services are often concentrated on processing, optimizing, personalizing and recommending. These services of both entities have to be revisited and extended to deal with the dimensions brought by Big Data Era and the new requirements of companies in the contexts of globalization, competition and climate change. While (Huang et al. 2017) point out the seven V’s of Big Data, we would like to highlight four dimensions characterized by four V’s of Big Data, that challenges the traditional solutions of databases, in terms of data acquisition, storage, management and analysis. The first V concerns the Volume of data generated by traditional and new providers. To illustrate the data deluge, let consider three examples of data providers:1 (i) the massive use of sensors (e.g. 10 Terabyte of data are generated by planes every 30 minutes), (ii) the massive use of social networks (e.g., 340 million tweets per day), (iii) transactions