Description
Stream DaQ is an open-source framework developed by members of the Data and Web Science Lab (DATALAB) with a strong expertise in data streaming, anomaly detection and time series analytics.
Stream DaQ is developed to keep an eye on your data stream, letting you know the moment when travelling data do not meet the expected quality in real time, so that you can take timely, informed actions. Acknowledging that every data-centric application is different, Stream DaQ comes with a comprehensive built-in suite of 60+ state-of-the-art data quality measures, so that you can cherry-pick the ones that make the difference in your very own use case. Stream DaQ adopts open-source technologies, such as Pathway, Apache Kafka, PostgreSQL, Redis, RocksDB.
Stream DaQ is an actively maintained and extended project, aspiring to enrich even more the use-case tailored solutions it offers.
People
- Vasileios Papastergios (PhD candidate)
- Apostolos Giannoulidis (PhD candidate)
- Theodoros Toliopoulos (Postdoctoral researcher)
- Anastasios Gounaris (Professor)