Emanuele Gallo

Data Reply

Laureato in Ingegneria Informatica al Politecnico di Torino. Ho iniziato a lavorare per Data Reply da Giugno 2016, dove ho iniziato ad entrare nel mondo dei Big Data. Sono interessato alle nuove tecnologie, e soprattutto a come ottimizzare i processi riducendo sprechi e costi. I Big Data , combinato ai Cloud computing, rappresentano esattamente questo, ed è la strada che al momento sto seguendo come crescita professionale


Speeches di Emanuele Gallo

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.

Lingua speech: Italian

Topics

Industry 4.0, Machine Learning and Artificial Intelligence, Algorithms, Internet of Things


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Main Partner
Eni
Bnl
Acea
Google


Diamond Partner
Hpe

Silver Partner
Data ReplyCerved
Official Taxi
My Taxi

Technical Partner
Iaml Tecnopolo di Roma

Ecosystem Partner
Talent Garden

Community Partner
Machine Learning

Si ringrazia
Car

Media Partner
Il Messaggero

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