The goal of this project was to build an ETL system collecting and aggregating data about various crypto assets. The data about blocks and transactions on the crypto assets was fetched and integrated on-the-fly from multiple data sources via REST APIs.
The goal of this project was to develop an anomaly detection pipeline for business intelligence systems in order to trigger a BI report distribution - via slack or e-mail - when an anomalous situation was detected or send an alert to predefined groups of managers.
TripleProv is an in-memory RDF database capable to store, trace, and query provenance information in processing Linked Data queries. TripleProv returns an understandable description, at multiple levels of granularity, of the way, the results of a SPARQL query were derived.
dipLODocusRDF is a system for Linked Data data processing supporting both simple transactional queries and complex analytics efficiently. dipLODocusRDF is based on a hybrid storage model. DiploCloud is distributed version of dipLODocusRDF.