ITECHLAW 2014 * Exploiting the power of Big Data (11371)
A revolution is going on these days 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. Our ability to process data, to store it and, most of all to understand it and drive decisions and discoveries is in the heart of research. The Australian Academy of Science in its recently published report on "Future Science - Computer Science" sets the general theme "Meeting the scale challenge" and notes that "we need to develop new paradigms to address the needs of the data-rich society. In particular, computer scientists need to develop theory and algorithms that will lead to the production of new tools and techniques that are required to advance the state of the art in managing and making sense of data."
In our work we look at novel means of managing, analyzing, 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. In this talk we will emphasize on our view on how to build such big data infrastructures and the interesting research problems that arise.
