On March 19 Cloud/Edge Computing for Deep Learning and Big Data Analytics online course provides a comprehensive overview and detailed presentation of advanced technologies used in distributed computational systems. Distributed computing plays a key role in today's data-driven landscape, enabling the processing of large amounts of data efficiently and effectively. It amplifies scalability, reliability and performance, proving indispensable for managing big data analytics, machine learning and real-time processing tasks.

Mirco Palese, Software Development Advisor in the R&D team at Engineering, speaks in the session "Introduction to Apache Airflow: Workflow Automation with DAGs and Tasks," at 12 p.m.

At 2 p.m. Antonio Filograna and Matteo Basile, Senior Researcher/Project Manager and Development Specialist, respectively, from the R&D team in Engineering, give a lecture entitled "Interoperability with JSON-LD and NGSI-LD via Orion Context Broker.