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This article emphasizes the great potential of big data processing for advanced user- and situationoriented, context-aware resource utilization in future wireless networks. In particular, we consider the application of dedicated, detailed, and rich-in-content maps and records called radio-service maps (RSMs) for unlocking the spectrum opportunities in 6G networks. Due to the characteristics of 5G, in the future, there will be a need for high convergence of various types of wireless networks, such as cellular and Internet of Things (IoT) networks, which are steadily growing and consequently considered as the studied use case in this article. We show that the 6G network significantly benefits from effective dynamic spectrum management (DSM) based on RSMs that provide rich and accurate knowledge of the radio context, a knowledge that is stored and processed within database-oriented subsystems designed to support …