1. Collaborative Exploration of Big Data in Information Theaters Hugo Buddelmeijer OmegaCEN, University of Groningen Target Conference 2014 Collaborators: Parisa Noorishad, David Williams, Milena Ivanova, Jos Roerdink, Edwin Valentijn

2. Collaborative Exploration in a Dome

3. Why? We’re the Bremer Stadtmusikanten 4 animals scare robbers by uniting strengths No one is the expert, yet Everyone is an expert!

4. Goldilocks Problem Find just the right bowl/chair/bed(/data) Data too large: – Takes too long to prepare – Crashes applications Data too small: – Cannot do exploration – Manual Data exactly right: – Unknown a priori

5. Solution: Pull Data 1.Specify Full Dataset 2.Start with representative sample 3.Zoom in on Region of Interest 4.Retrieve more data Requires smart tools and smart data!

6. Query Driven Visualization in Astro-WISE Recursively find/create requested data Process the important bits first

7. Pulling a Scatterplot 1.Specify arbitrarily large dataset 2.Representative sampling is requested 3.User zooms in 4.More data is requested

8. Conclusions / Lessons Learned Give data knowledge to reason about itself Design incremental algorithms Provide declarative interfaces