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 both algorithms
and architectures. The focus in most of data management systems is on (1)
horizontal scalability and high performance, (2) continuous availability, (3)
non-structured data processing, and (4) real-time processing. Alternative systems
such as SQL-on-Hadoop technologies are becoming mainstream for big
data analytics.
