We are in the era of Big Data: the massive amounts of data generated in Astrophysics are, as of today, in the petascale if not already in the exascale. In the near future, we will see the amount of data grow further. Big physics projects like the High-Luminosity Large Hadron Collider (HL-LHC) and the Square Kilometre Array (SKA) are each expected to produce, in the next decade, an exabyte of data yearly. These amounts of generated data are constantly setting new challenges for data processing, reduction and analysis and new models are needed for data management and computation.
In Astrophysics, in the environment of the International Virtual Observatory Alliance a big work has already been done for what concerns data management. An architectural model, a set of standards to describe, retrieve and exchange data and data access services have been developed to build the global Virtual Observatory gaining complete data FAIRness.
The new challenges posed by big data processing, need software and hardware solutions overcoming the traditional ones and new models for resource access. In this talk I describe a resource access model based on the work done in the IVOA.