Streaming Cross-Sectional Data Visualization with Perspective and Spark

Explore streaming cross-sectional data visualization using Perspective and Spark in this 27-minute conference talk. Learn how to analyze real-time data streams crucial for various industries. Discover Perspective, an open-source library designed for high-performance streaming data visualization, written in C++ and Rust with WebAssembly and Python bindings. Follow a practical demonstration starting from raw data in a Jupyter Notebook, using Spark Streaming to parse, reformat, and join data streams with reference information. Witness the transition from prototype to production as the demonstration evolves into a full-featured streaming data web application. Gain insights from Timothy Bess, Software Engineer at The Prospective Company, and Timothy Paine, Quantitative Developer at Cubist Systematic Strategies / Point72, on leveraging Perspective and Spark Streaming for efficient data analysis and visualization.

Streaming Cross-Sectional Data Visualization with Perspective + Spark