  Radio astronomy is transitioning to a big-data era due to the emerging
generation of radio interferometric (RI) telescopes, such as the Square
Kilometre Array (SKA), which will acquire massive volumes of data. In this
article we review methods proposed recently to resolve the ill-posed inverse
problem of imaging the raw visibilities acquired by RI telescopes in the
big-data scenario. We focus on the recently proposed online reconstruction
method [4] and the considerable savings in data storage requirements and
computational cost that it yields.
