Visualizing Large Data Sets

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course overview

Congratulations, your large dataset is up and running on the cluster! But now you’ve found that you can’t display even the most basic use cases in your browser. How you design the user experience can greatly affect how people access and visualize the data. It’s easy to get mired in the complexities of large data and underlying technology, forgetting that real users, mere mortals, will need to use this information to inform mission-critical tasks. To get the value out of your data investment, you’ll need to provide an experience that enables users to explore and visualize your data in meaningful ways.In this 1-day course, you'll learn lean how to apply a design mindset and rapid prototyping methods to inform selecting the right visualizations to create great experiences with large data sets.


FORMAT: Lecture with hands-on exercises throughout the day 

intended audience

  • UI & front-end developers
  • UX & interaction designers
  • Information architects
  • Product managers
  • Business analysts
  • Visual designers
  • User researchers
  • Usability specialists
  • Executive management with oversight responsibility

customizable highlights

  • Ability to create prototypes with basic use cases through a large dataset
  • Tailoring experiences to the intended audience and data
  • Mapping user functions and outcomes to determining the right visualization for the job
  • Live samples of ways to share complex data in meaningful user interfaces
  • Live Samples of ways to share complex data in meaningful User Interfaces
  • Understand the differences between visualizing graph data and other data types
  • Libraries of different types: Flow Diagrams, Geo Maps, Sankey, Node Chart, Tree Map, etc.
  • Prototyping - choosing the right weapon from a variety of techniques
  • Rapidly and economically testing different visualization ideas with users
  • Zeroing-in on important stories to craft an MVI (Minimum Viable Idea)