Overview
Many data visualization libraries are built with static data in mind. However, analyzing data streams in real-time is crucial for many industries. In this talk, we will look at Perspective. Perspective is an open source library built for high-performance streaming data visualization that lets users quickly and easily dissect their data. It is written in C++ and Rust and bound to WebAssembly in the browser and Python on the backend, allowing it greater performance than similar tools. This talk is built around a tangible demonstration of a real-world application. We'll start with raw data in a Jupyter Notebook. With Spark Streaming, we'll parse, reformat, and join data streams with reference information and feed it into Perspective - all within a notebook. We'll then breakout of the notebook into a full-featured streaming data web application, demonstrating how quickly and easily we can move from prototype to production with Perspective and Spark Streaming.
Here's the video of Tim's talk:
...and the presentation in full.
If you’re enabling customers and teammates to access, reason about and visualize their data across lake houses, data meshes and anywhere else data lives, we’d love to chat with you about how we could simplify and enhance your user experience. We’re always happy to chat @ https://prospective.co/meet-eric
