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Distributed Computing and Data Engineering or CENG400

Output:
This course provides students with a comprehensive introduction to distributed data engineering and data streaming concepts, distributed platforms, distributed data acquisition, and distributed computation models. It covers essential distributed computing technologies and platforms such as Databricks, Sparks, Hadoop, and MapReduce. Students will gain hands-on experience with popular software libraries for distributed data acquisition, crawling, processing, and learning. The curriculum encompasses data modeling, visualization, and the application of scalable machine learning algorithms to big data. By exploring topics like social network analysis and big data foundations, students will develop a profound understanding of modern-day distributed computing and the integral roles played by Data Engineers, Data Scientists, and Data Analysts in this evolving ecosystem.