The document discusses techniques for visualizing big data to effectively communicate insights and extend human perception. It emphasizes that visualizations should work with human senses, memory, and cognition by using techniques like color, size, and motion to make patterns and relationships in the data "pop out". It also stresses the importance of filtering, animating, and summarizing data instead of showing it all at once, and annotating/labeling visualizations to help people understand and not get lost. The overall goal is to turn complex information into something that can be easily perceived and to reduce visual noise to highlight minimum necessary differences in the data.