Explore interactive visual analytics techniques for handling large datasets in this GOTO 2014 conference talk. Dive into the technical and human factor challenges of building effective big data analytic solutions for data scientists and analysts. Learn about interactive analysis support, visualizations for big data, scripting requirements, and addressing typical analyst task flows. Discover dynamic data visualization methods and fundamental principles of good visual design. Examine case studies demonstrating the application of these concepts in real-world scenarios. Gain insights into integrated analysis visualization environments, serverside processing, pattern matching, and various analysis techniques such as aggregation, opacity, and heatmaps. Understand the importance of visual design principles, including Edward Tufte's rules and techniques for managing data complexity. Explore tools for querying large datasets, auto-updates, and creating analyst-friendly interfaces. Acquire practical knowledge to enhance your ability to work with and derive insights from big data through interactive visual analytics. Read more