Modern organizations have recognized the importance of having a defined and standard architecture that is able to guide the implementation of the organization’s vision and to harness external drivers and changes. National Statistical Organizations (NSOs) are part of this trend and are more and more investing in defining architectures (business, application/information, IT) for their business. In the Big Data field, the need for defining appropriate architectures is, if possible, even more urgent, on the basis of the recent nature of the adoption of Big Data sources as additional sources for the Official Statistics production. The Italian National Institute of Statistics (Istat) has been investing in Big Data as new sources for Official Statistics since 2013, when the “Scheveningen memorandum” acknowledged Big Data to represent new opportunities and challenges for Official Statistics for the European Statistical System and its partners. In this paper, with respect to the current Istat’s situation, we will: • summarize the major investments made in the field of Big Data architectures till now and • highlight the major open challenges that we see as important to be solved in the next future for a full-fledged production of Big Data-based statistics.