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Make Data Work
Oct 15–17, 2014 • New York, NY

Visualization conference sessions

Jeffrey Heer (Trifacta | University of Washington)
Slides:   1-PDF 
Interaction and visual design are exacting exercises. Designing for data -- especially in messy and massive forms -- brings a new set of challenges. How can we help people of varying backgrounds effectively transform and understand data at scale?
Leo Meyerovich (Graphistry)
Slides:   1-PDF 
Shoving 1MM rows of query results into a chart or graph returns illegible results and kills interactivity. Smarter designs, however, will achieve data visibility. Furthermore, running on GPUs turns static designs into interactive tools. We will show how Graphistry does this in production with (a) new client/cloud GPU infrastructure and (b) GPU-accelerated languages like Superconductor.
David Jonker (Uncharted Software Inc.), Rob Harper (Uncharted)
Slides:   1-PDF 
The widespread adoption of web-based maps provides a familiar set of interactions for exploring large data spaces. Building on these techniques, Tile-based visual analytics provides interactive visualization of billions of points of data or more. This session provides an overview of technical challenges and promise using applications created with the open source Aperture Tiles framework on GitHub.
Hossein Falaki (Databricks Inc.)
We will demonstrate how to combine visual tools with Spark to apply three specific techniques to visually explore big data using a) summarize and visualize, b) sample and visualize, and c) model and visualize. We will use a real big dataset, such as Wikipedia traffic logs, to demonstrate these techniques in a live demo.
Lauro Lins (AT&T Labs)
Nanocubes is an open source project that can be used to visually explore large spatiotemporal datasets at interactive rates using a web browser.
Andrew Hill (Textile)
Slides:   external link
An important skill of today's data scientists is data communication. Mapping and other types of data visualization have been sufficient to try and demonstrate the trends and patterns these professions find in data. However, there is an important shift happening in the way we consume data that means as a community, we need to think about our ability to turn data into stories.
Nathan Shetterley (Accenture), Joshua Patterson (NVIDIA), Allan Enemark (Accenture), Kathleen Moynahan (Accenture Technology Labs)
Nathan Shetterley, Josh Patterson, and their team, set out to change the visual identity of the world's largest IT consulting firm in the world. From grass roots public visualization to a global visual literacy curriculum, see how they made Accenture more focused on data visualization. In addition, they will share insights into the business value of data visualization to their firm and clients.