Mi sono laureato in Ingegneria Informatica al Politecnico di Milano, dove mi sono specializzato in machine learning ed elaborazione dei segnali digitali. Sono entrato in Data Reply a Luglio 2016 per lavorare su progetti di big data. Sto collaborando da settembre allo sviluppo di una piattaforma cloud di big data analytics per unimportante gruppo media italiano. Questesperienza mi ha permesso di apprendere e mettere in pratica i pattern architetturali di progettazione di applicazioni big data nel cloud.
Speeches di Riccardo Delegà
Big data: lift and shift journey
Big Data is widely used by companies to improve business decision-making processes, using the large amount of information coming from several actors (IoT devices, system logs, monitoring systems
). However, Big Data analysis requires a huge amount of computing resources making the adoption cost of big data technology not affordable for many small-to-medium enterprises.
Cloud computing has disrupted traditional aspects of IT by enabling a paradigm shift in how the industry approaches operations and software development. Cloud enables, especially with PaaS approach, a setup low-cost environments and elastic approach that is beneficial to big data and advanced analytics. It allows companies to implement cost saving strategies on Big Data component (exploiting pay-as-you-go and on-demand payment methods).
At Data Reply we believe that the Cloud providers now offer tools and methodologies that are mature enough for big data analytics: from serverless query services and managed real-time data processing platforms to infrastructure as code and secure storage, the public cloud can help customers analyse an ever-increasing volume and variety of data in a cost-efficient, agile and flexible way.
In this speech we would share with you the lesson learned in our journey from on-premise big data platforms to cloud-based solutions and in particular the problems we encountered and how we solved them. We will showcase how a major Italian media company built a big data analytics platform entirely in the cloud and how a multinational automotive company migrated its existing big data stack to the cloud.