ABSTRACT
Analytics of tremendous big data generated from natural systems (e.g., tectonic plates' movement, atmospheric data), engineered systems (e.g., servers, electronic devices), and human activities (e.g., trajectories, Web click-streams, health records, customers' transactions, user interactions in social networks) require highly scalable data management systems with new capabilities in 174both algorithms and architectures. SQL-on-Hadoop bridging Relational Database Management technologies and Hadoop Ecosystem technologies are becoming mainstream for big data analytics.
