Events & News
Colloquium
| Category | Lecture |
| Date | Tuesday, January 28, 2014 |
| Time | 11:00 am |
| Concludes | 12:15 pm |
| Location | Gould-Simpson 906 |
| Details | Faculty Host: Stephen Kobourov Coffee and light refreshments to be served in the atrium at 10:45am. |
| Speaker | Carlos Scheidegger |
| Affiliation | AT&T Labs-Research |
How do you look at a Billion Data Points? - An Exploratory Visualization for Big Data
Consider exploration of large multidimensional spatiotemporal datasets with billions of entries. Are certain attributes correlated spatially or temporally? How do we even look at data of this size? In this talk, I will present the techniques and algorithms to compute and query a nanocube, a data structure that enables interactive visualizations of data sources in the range of billions of elements. Although data cubes are sometimes assumed to take a prohibitively large amount of space (and to consequently require disk storage), nanocubes fit in a modern laptop's main memory, even for hundreds of millions of entries. I will present live demos of the technique on a variety of real-world datasets, together with comparisons to the previous state of the art with respect to memory, timing, and network bandwidth measurements.
Time permitting, I will touch about my research in tackling another big problem in Big Data. Big Data is sometimes as messy as it is massive. In this regime, time-to-insight is not dominated by how fast we can run our software, but how quickly analysts formulate and test hypotheses and models; effective tool design can make a critical difference.
Biography
Carlos Scheidegger is a member of the technical staff at AT&T Labs–Research, in the Information Visualization group. He works in data visualization, data analysis, computer graphics, and geometry processing. Mr. Scheidegger completed his PhD in Computing at the University of Utah in 2009.