Conference paper Open Access
A Synopses Data Engine for Interactive Extreme-Scale Analytics
Antonis Kontaxakis;
Nikos Giatrakos;
Antonios Deligiannakis
We detail the novel architecture of a Synopses Data Engine (SDE) which combines the virtues of parallel processing and stream summarization towards interactive analytics at scale. Our SDE, built on top of Apache Flink, has a unique design that supports a very wide variety of synopses, allows for dynamically adding new functionality to it at runtime, and introduces a synopsis-as-a-service paradigm to enable various types of scalability.
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Indexed in
- Publication date:
- August 9, 2020
- DOI:
-
- Keyword(s):
- data summarization data streams Big Data analytics
- Grants:
-
European Commission:
- INFORE - Interactive Extreme-Scale Analytics and Forecasting (825070)
- Meeting:
- ACM International Conference on Information and Knowledge Management (CIKM), Virtual Event, Ireland, 19-23 October 2020
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International