Abstract
This report summarizes the presentations and discussions of the fourth workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR '17). The BeyondMR workshop was held in conjunction with the 2017 SIGMOD/PODS conference in Chicago, Illinois, USA on Friday May 19, 2017. The goal of the workshop was to bring together researchers and practitioners to explore algorithms, computational models, languages and interfaces for systems that provide large-scale parallelization and fault tolerance. These include specialized programming and data-management systems based on MapReduce and extensions thereof, graph processing systems and data-intensive workflow systems. The program featured two well-attended invited talks, the first on current and future development in big data processing by Matei Zaharia from Databricks and the University of Stanford, and the second on computational models for the analysis and development of big data processing algorithms by Ke Yi from the Hong Kong University of Science and Technology.
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