In the big data era, real-time tracking and evaluation of streaming information are essential for delivering prompt insights. The schemaless nature of streaming data introduces substantial analytical challenges: since schemas are constantly changing in an unpredictable way, a continuous query issued over the stream can quickly become obsolete, losing purpose and effectiveness. In this demonstration, we present ASSO (Automated Schemaless Stream Overseer), a solution for dynamic monitoring and analysis of schemaless streams. ASSO considers the overlapping sliding window paradigm, interpreting data streams and offering an intentional view of their schemas, while dynamically adjusting continuous queries to accommodate schema evolution.
Forresi, C., Francia, M., Gallinucci, E., Golfarelli, M. (2025). ASSO: the Automated Schemaless Stream Overseer. OpenProceedings [10.48786/edbt.2025.93].
ASSO: the Automated Schemaless Stream Overseer
Chiara Forresi;Matteo Francia;Enrico Gallinucci
;Matteo Golfarelli
2025
Abstract
In the big data era, real-time tracking and evaluation of streaming information are essential for delivering prompt insights. The schemaless nature of streaming data introduces substantial analytical challenges: since schemas are constantly changing in an unpredictable way, a continuous query issued over the stream can quickly become obsolete, losing purpose and effectiveness. In this demonstration, we present ASSO (Automated Schemaless Stream Overseer), a solution for dynamic monitoring and analysis of schemaless streams. ASSO considers the overlapping sliding window paradigm, interpreting data streams and offering an intentional view of their schemas, while dynamically adjusting continuous queries to accommodate schema evolution.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.