TY - GEN
T1 - Logica
T2 - 27th International Conference on Extending Database Technology, EDBT 2024
AU - Skvortsov, Evgeny
AU - Xia, Yilin
AU - Ludäscher, Bertram
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/3/18
Y1 - 2024/3/18
N2 - Logica (= Logic + aggregation) is a freely available, open-source, feature-enhanced version of Datalog that automatically compiles logic rules to several SQL platforms, i.e., a lightweight, serverless SQLite engine, a multi-user client-server PostgreSQL system, and a highly scalable, parallel BigQuery instance. Logica combines the beginner-friendly declarative features of Datalog (intuitive, pattern-based queries in the style of QBE), with advanced analytical features needed by data science practitioners when processing large, real-world datasets. The system has been used for data science applications and training in industry, and in graduate-level courses in academia. Logica allows beginners to seamlessly progress from traditional (toy) examples to intermediate and advanced use cases.
AB - Logica (= Logic + aggregation) is a freely available, open-source, feature-enhanced version of Datalog that automatically compiles logic rules to several SQL platforms, i.e., a lightweight, serverless SQLite engine, a multi-user client-server PostgreSQL system, and a highly scalable, parallel BigQuery instance. Logica combines the beginner-friendly declarative features of Datalog (intuitive, pattern-based queries in the style of QBE), with advanced analytical features needed by data science practitioners when processing large, real-world datasets. The system has been used for data science applications and training in industry, and in graduate-level courses in academia. Logica allows beginners to seamlessly progress from traditional (toy) examples to intermediate and advanced use cases.
UR - http://www.scopus.com/inward/record.url?scp=85190978178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85190978178&partnerID=8YFLogxK
U2 - 10.48786/edbt.2024.84
DO - 10.48786/edbt.2024.84
M3 - Conference contribution
AN - SCOPUS:85190978178
T3 - Advances in Database Technology - EDBT
SP - 842
EP - 845
BT - Proceedings of the 27th International Conference on Extending Database Technology, EDBT 2024
PB - OpenProceedings.org
Y2 - 25 March 2024 through 28 March 2024
ER -