Abstract

A revolution is taking place today in Computer Science around the Big Data theme. Many state that big data computing is perhaps the biggest innovation in computing in the last decade. Big Data is not only referring to large volumes; the number of data sets, diversity and arrival rates are also challenges to data-driven science and engineering.

In this talk, Professor Timos Sellis emphasises on novel means of managing, analysing, and extracting useful information from large, diverse, distributed and heterogeneous data sets in order to advance the development of new data analytic tools and algorithms and facilitate scalable, accessible, and sustainable data infrastructures. He also presents his views on how to build such Big Data infrastructures and the interesting research and development problems that arise.