The increasing adoption of the cloud computing paradigm has motivated a redefinition of traditional data management methods. In particular, data storage management has been revisited, due to a growing interest in the challenges and opportunities associated to the NoSQL movement. Together with novel opportunities offered by the cloud for accessing hardware, and resources as an implicit commodity, the possibility of processing huge data collections for supporting a "science of data" has put data in the centre of the arena. In this new era of information, it seems that new research and development opportunities are emerging The objective of this paper is to discuss three aspects that seem to be in the agenda for addressing the new vague of challenges introduced by the so called big data age: determining big data collection sizes from L to XXL; providing flexible persistence support; determining and capitalizing the value of big data collections.