Data of Unusual Size - Interactive Visualization

Explore the fundamentals of analyzing massive datasets in this hands-on tutorial focused on real-world examples using powerful machines on a public cloud. Learn how large-scale data analysis differs from local workflows, addressing unique challenges associated with scale and best practices for productive data handling. Discover efficient data formats for large-scale operations, leverage parallel and distributed computation with Dask, manage cloud storage and resources effectively, and create interactive visualizations using hvPlot to make complex data more understandable. Gain insights into collaborative data science projects and build a foundational understanding of big data workflows within three hours. Cover practical details of Python libraries like Dask and hvPlot, ideal for handling large datasets, while focusing on reasoning, intuition, and best practices through numerous exercises.

Tutorials - Pavithra Eswaramoorthy, Dharhas Pothina: Data of Unusual Size: Interactive Visualization