The Big Data Platform developed within the NODES project establishes a modular, containerized architecture to integrate, process, and analyze heterogeneous agricultural data for sustainable resource management. It enables automated ingestion and orchestration through Apache NiFi and Airflow, with visualization supported by Superset and Hue. The system connects IoT sensors, blockchain traceability data, and satellite observations, providing real-time monitoring and predictive analytics. Advanced machine learning models enhance biogas optimization, feed quality prediction via NIR spectroscopy, and environmental monitoring through drought, manure, and crop yield detection. The platform supports interoperability, scalability, and secure data governance using SSO and blockchain notarization. Its predictive models improve efficiency in livestock and energy systems, contributing to data-driven innovation in agroindustry. Overall, the system represents a key step toward digital transformation and sustainability in agricultural ecosystems. This document is a deliverable of the project FORMIDABILÆ ("Forage system to make resilient Maize, Dairy and Biogas supply chains for a Lasting Agricultural Ecosystem"), which promotes approaches aimed at improving the smart, resilient, circular and diversified farm to ensure food security and social economic sustainability of dairy food chains with the aim of reducing greenhouse gas emissions in this sector. This document is part of the project NODES which has received funding from the MUR – Missione 4, Componente 2, Investimento 1.5 – Creazione e rafforzamento di “Ecosistemi dell’innovazione”, costruzione di “leader territoriali di R&S'' – del PNRR funded by the European Union - NextGenerationEU with grant agreement no. ECS00000036