Engineering: leader della Digital Transformation

E-course on Cloud/Edge Computing for Deep Learning and Big Data Analytics

E-course on Cloud/Edge Computing for Deep Learning and Big Data Analytics

Cloud/Edge Computing, Deep Learning and Big Data Analytics to take full advantage of distributed systems, promoting innovation and maximizing the value of one's data.

online, March 19 2024

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."


For info and registration https://icarus.csd.auth.gr/short-e-course-on-cloud-edge-computing-for-deep-learning-and-big-data-analytics/

 

 

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