New Techniques for Visualizing Network Data
By Jeffrey Heer, Ph.D., Stanford Making sense of the content and structure of large networks is a pressing “Big Data” problem. Improved visualization methods for network data is one research focus in the Stanford Visualization Group, and this work provides … Continue reading →
Gaming IT Security
By Jeremy Kepner, Ph.D, MIT Lincoln Laboratory Video gaming technology has proven capable of providing realistic immersive experiences to game players. Could it do the same for critical real-life situations – specifically, to provide better situational awareness of networks so … Continue reading →
Inside Three Intel Science and Technology Centers
An Interview with Jeff Parkhurst, Ph.D, Intel Labs The Intel Science and Technology Center Program is a series of research collaborations that Intel is establishing with U.S. universities to identify and prototype revolutionary technology opportunities. The centers are designed to encourage closer … Continue reading →
DBTruck: Humane Data Import
Replacing the Data Tweezers with a Data Dumptruck By Eugene Wu, MIT CSAIL Big Data doesn’t have to be petabytes to be big. It just needs to be difficult for the user to analyze or manage. While databases are designed … Continue reading →
What’s New
- The Big Data ISTC: A Retrospection by Michael Stonebraker, Samuel Madden and Timothy Mattson
- In-Database Analytics for Large Array Data
- ISTC Researchers to Present Papers at VLDB 2017 Conference
- VisualCloud: A DBMS for Virtual Reality
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