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The amount of data that is collected during tests and simulations has increased significantly in recent years and there is no end in sight. The current practice of copying the data to a workstation, where it is analyzed, reaches its limit. A single workstation is not capable of dealing with the load. In addition, transferring and copying the data itself becomes a cost and time factor. Unfortunately, ODS, the standard for managing test measurement data, has evolved in parallel and independently of Big Data techniques. Only recently a few cautious steps to integrate ODS and Big Data were taken. But in our opinion, the available (and proposed) solutions are insufficient to really bring all benefits of Big Data technologies to bear. We are working on a platform that deeply integrates Big Data technologies with the ODS-standard. The central piece of our platform is a server that fulfills the ODS-standard. It is extended by KPI-functionality which enables the user to perform calculations on mass-data and mix it with standard ODS-functionality. This solution offers a true and deep integration of the ODS-standard with Big Data technologies.
