Venerdì 15 Dicembre 2017, ore 16,30-18,00, nell'Aula P1.6, il dottore di ricerca Matteo Interlandi, terrà il Seminario:
"Quick Develoment Big Data Analytics Tools"

Abstract: Implementing data processing logic in Data-Intensive Scalable Computing (DISC) systems is a difficult and time consuming effort. Today’s DISC systems offer many special purpose programming models and Domain Specific Languages, but very little tooling for debugging and profiling programs. As a result, programmers spend countless hours in stitching together subprograms written using different APIs, and performing trial and error debugging using log traces as evidences. To aid this effort, in the last years I have help in building a set of tools allowing developers to reduce the overall time to market for their Big Data Analytics. In particular, in this talk I will describe how relational, graphs and machine learning applications can be efficiently run at scale using the tooling I contributed to develop."

Bio: Matteo Interlandi is a Research Scientist in the Cloud and Information Services Lab (CISL) at Microsoft, working on scalable Machine Learning Systems. Before Microsoft, he was a Postdoctoral Scholar in the CS Department at the University of California, Los Angeles. Prior to joining UCLA, he was Research Associate at the Qatar Computing Research Institute and at the Institute for Human and Machine Cognition. He obtained his PhD in Computer Science at the University of Modena and Reggio Emilia under the supervision of Sonia Bergamaschi.