Why Interacting with Big Data is Hard (and What We Can Do About It)

Speaker: Danyel Fisher , 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

Public: Yes

Location: Patil/Kiva (32-G449)

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Host: Elena Glassman, CSAIL HCI

Contact: Elena Glassman, elg@csail.mit.edu

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Reminders to: hci-seminar@csail.mit.edu, chi-labs@csail.mit.edu, seminars@csail.mit.edu, msgs@media.mit.edu

Reminder Subject: 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.

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This event is not part of a series.

Created by Elena Glassman Email at Monday, March 02, 2015 at 11:10 PM.