Andreeva Kristina Aleksandrovna, Student, Basic Department «Big Data Analytics and Video Analysis Methods», Ural Federal University named after the first President of Russia B.N. Yeltsin
Solod Anastasia Vasil’evna, Student, Basic Department «Big Data Analytics and Video Analysis Methods», Ural Federal University named after the first President of Russia B.N. Yeltsin
Balungu Daniel Musafiri, Assistant, Basic Department «Big Data Analytics and Video Analysis Methods», Ural Federal University named after the first President of Russia B.N. Yeltsin
Abstract
The study is devoted to the joint use of the Solara Python framework and the Apache Superset BI platform for analyzing industrial systems data (SCADA, MES, ERP, IoT). Solara is used to create interactive mnemonic diagrams, and Superset is used for analytical dashboards. The combination of these tools increases the flexibility of data processing and the efficiency of visualization, which contributes to operational transparency and optimization of solutions in the context of Industry 4.0.
KEYWORDS: Solara, analytics, manufacturing processes, Apache Superset, data visualization.
Download article SOLARA LIBRARY FOR PROCESS ANALYTICS: OPTIMIZATION AND DATA VISUALIZATION USING APACHE SUPERSET
