Learn portable and scalable data visualization techniques for Apache Spark and Python notebook-based analytics in this 27-minute talk from Databricks. Discover strategies to render Matplotlib across multiple platforms, explore the Python visualization package landscape, and master headless rendering for scaling visualizations. Gain insights on creating animations and connecting big data via Spark to visualizations. Explore common integration strategies and potential pitfalls when working with Spark, Jupyter, and non-Jupyter environments. Ideal for those with basic Python data visualization experience, this presentation covers image, SVG, and HTML embed techniques, as well as automation strategies for Machine Learning Operations and data-driven animations.

Syllabus

Introduction
Python Data Visualization
Render to Render
Embed in Markdown
Embed in JavaScript
Data Reduction
Show Doc
Generating Images in Spark
Summary