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The emergence of commodity-based high performance computing systems and low-cost storage systems in concert with the continued proliferation of data has created a significant need for technologists with expertise in parallel data systems. The training in this area, though, falls outside the traditional boundaries of the data management curriculum. In this paper, we describe our efforts in developing a new course focused on parallel data systems, which exploit the power of high performance computing and commodity hardware to deliver high throughput and well-scaled storage systems. We describe in detail the trends and forces driving the need for this course, the topics to be covered in this course, the data laboratory to be used with the course, assessment methods to measure student progress, and desired learning outcomes for the course.