Why Interacting with Big Data is Hard (and What We Can Do About It)
, Microsoft Research
Date: Wednesday, April 08, 2015
Time: 2:00 PM to 3:00 PM Note: all times are in the Eastern Time Zone
Refreshments: 1:45 PM
Location: Patil/Kiva (32-G449)
Host: Elena Glassman, CSAIL HCI
Contact: Elena Glassman, email@example.com
Speaker URL: None
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TALK: HCI Seminar: Danyel Fisher (MSR)
Exploring data freely lets you find unexpected patterns and shapes -- but it's hard to explore really big datasets. It takes a lot of computing, network, and disk power to squeeze a few trillion records into a million pixels quickly enough to see anything interesting. There are a lot of approaches out there, from throwing bigger clusters at the problem, to indexing more aggressively. Each of these approaches is a tradeoff; it has its own costs and benefits. In my talk, I will discuss several different approaches to big data visualization and interaction that can help deal with these issues and lay out a space of future research in databases, networking, and visualization to address these questions.
Created by Elena Glassman at Monday, March 02, 2015 at 11:10 PM.