The role of event-time order in data streaming analysis
Vincenzo Massimiliano Gulisano, Dimitris Palyvos-Giannas, Bastian Havers, Marina Papatriantafilou · 2020
The data streaming paradigm was introduced around the year 2000 to overcome the limitations of traditional store-then-process paradigms found in relational databases (DBs). Opposite to DBs' "first-the-data-then-the-query" approach, data streaming applications build on the "first-the-query-then-the-data" alternative. More concretely, data streaming applications do not rely on storage to initially persist data and later query it, but rather build on continuous single-pass analysis in which incoming streams of data are processed on the fly and result in continuous streams of outputs.