The amount of data collected during tests and simulations in the automotive industry has grown massively in recent years and there is no end in sight to this trend. Previous techniques for analysis have reached their limits. While the amount of data collected during tests and simulations is increasing, individual computers cannot be expanded to the same extent. This means that the usual practice of copying data to a workstation for analysis is reaching its limits. In addition, transferring and copying the data itself becomes a time and cost factor. This talk presents the various ways in which test and simulation data can be managed and analyzed using Big Data technologies. How do ASAM ODS and Big Data come together?