2021-2022

Luongo Giulia

Luongo

My name is Giulia Luongo, I graduated in 2014 in Management Engineering. Until December 2021 I worked in a Bergamo company in the automotive sector. Part of my job was to do data analysis and over the years I realized that this was the part that I was most passionate about. Thanks to the Master SoBigData I was able to specialize in this area.

2021-2022

Banti Clara

Banti

Graduated in Public Relations (now called Business Communication), I was lucky enough to find myself in the world of digital agencies. Here, after a few years in the press office where I had to understand (and tell laymans) how the websites development projects and digital marketing plans worked, I moved on and started being in charge of the consultancy for clients’ digital marketing program definition and the management of development projects. It was the world of performance and optimization, the time for results to constantly track in e-commerce and the era of CRM customizations. All this could effectively happen only when a correct collection and manipulation of data is done. That’s why my interests shifted from marketing to data. Areas of interest for me in data analysis are market research, users’ behaviors analysis, platform performance analysis (not just e-commerce) and how to make data useful knowledge.

2021-2022

Fischetti Roberta

Fischetti

I am Roberta, originally from a small town in the province of Avellino, which I soon left for University studies. I have a Bachelor's degree in Applied Mathematics, a Master's in Digital Humanities and anpther Master's in Film Editing, achieved in the UK. My dream, in fact, was to work in the Film Industry as an editor. However, I realized that reaching that goal meant giving up meaningful relationships, besides a healthy and balanced life. Furthermore, the opportunities for growth in the field of video editing were very limited, especially following the pandemic. Therefore, I decided to explore new horizons, including the world of Data Science. The things that most fascinate me about this world are its many facets and its many applications to different fields. My new goal, therefore, is to exploit the knowledge extracted from data in order to contribute to the common good.

2021-2022

Marchelli Gwydyon

Marchelli

I got a Bachelor degree in Chemistry and Chemical Technologies and a Master degree in Chemistry at the University of Turin. In the last years I have been a researcher in the field of computational chemistry under the Horizon2020 project SOCRATES at the University of Bonn, Germany, where I got my PhD in Chemistry. During my work, I encountered the challenge to organize and describe large amount of data, and took quite some interest in it; since the focus of my studies had never been on this topic, I decided to enroll in this Master to complete my training on Big Data and Data Mining. In my spare time I like cooking, playing board and role-play games, and climbing.

2021-2022

Ciocchetti Alessandro

Ciocchetti

Hello! I was born in Urbino in 1995 and I have lived in Pesaro until I started my University studies in Industrial Engineering and Management in Bologna. I love blues, rock, jazz, classical music, I am a good harmonica player, I love a lot of books and movies. Then, since I like arts, I like also programming. I believe Art can be expressed today through cinema and IT... sadly, literature and music already had their times and it's always more difficult to create something new there. I know it's a strange idea, but I am also sure we can't have a future without arts. We are just moving and adapting towards something new and more potentially "discoverable". Maybe in the next centuries humanity will recognize some great IT developers/digital designers/ideators of these times as great artists!

2021-2022

Guidotti Riccardo

Riccardo Guidotti was born in 1988 in Pitigliano (GR) Italy. He graduated cum laude in Computer Science in 2013, at University of Pisa. He discussed hi thesis on Mobility Ranking: Human Mobility Analysis using Ranking Measures. He started the Ph.D. in Computer Science at the School for Graduate Studies "Galileo Galilei", (University of Pisa) in November 2013. He is currently a member of Knowledge Discovery and Delivery Laboratory. His interests regard Individual Data Mining, Mobility Data Analysis, Economic Data Analysis and Complex Network Analysis.

English

Pedreschi Dino

Dino Pedreschi is a Professor of Computer Science at the University of Pisa, and a pioneering scientist in mobility data mining, social network mining and privacy-preserving data mining. He co-leads with Fosca Giannotti the Pisa KDD Lab - Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and the Information Science and Technology Institute of the Italian National Research Council, one of the earliest research lab centered on data mining. His research focus is on big data analytics and mining and their impact on society.

English

High Performance & Scalable Analytics, NO-SQL Big Data Platforms

Credits: 
2
Hours: 
22
Area: 
Big Data Technology
Teachers: 
Academic Year: 
Description: 

This course aims at teaching the basic theoretical concepts behind the MapReduce distributed computing paradigm, and Hadoop in particular, and at building expertise in the practical usage of high-performance computing tools for data engineering, analysis and mining. In particular, the students will learn how classical data mining algorithms can be applied to Big Data using Hadoop (Spark). Real (and open source) datasets will be used to present examples and to let the students build their own projects.

Data Management for Business Intelligence

Credits: 
2
Hours: 
20
Area: 
Big Data Technology
Description: 

The module presents technologies and systems for designing, populating and querying Data Warehouse for decision support. The emphasis is on technologies and analysis of application problems by using examples and case studies. The student will acquire knowledge and skills on major technologies for Business Intelligence such as ETL (Extract, Transform and Load), Data Warehousing, Analytics SQL, OLAP (Online Analytical Processing).

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