Real-Time Stream Analytics with TDengine and Prospective
TDengine
35:33
Join the teams behind TDengine and Prospective for a live walkthrough of how to build high-performance, subsecond dashboards for time-series data - perfect for Industrial IoT, finance, and other real-time applications.
We’ll show how to stream 100K+ events per second into TDengine and visualize them instantly in the browser using Prospective, a subsecond stream analytics tool.
What you’ll learn:
- How to connect and query streaming data from TDengine
- How to build low-latency dashboards on Prospective.co
- Architectures for scalable, local-first real-time apps
- Live Q&A with both teams
Whether you're building dashboards for sensors, markets, or systems, this session will give you practical tools and patterns to go real-time.
Speakers
Parham Parvizi
Founding Data Architect, Prospective
Parham Parvizi is Founding Data Architect at Prospective, pushing the limits of real-time data visualization with Perspective—an open-source analytics engine built for high-performance, client-side interactivity.
He has spent the past two decades wrangling data at scale, from Hadoop’s early days to optimizing cloud-native architectures. Previously, he co-founded Tura.io and Data Stack Academy, training the next wave of cloud data engineers.
Joel Brass
Solutions Architect, TDengine
Joel Brass is a Solutions Architect at TDengine, bringing extensive experience in real-time data processing, time-series analytics, and full-stack development.
With a 20 year background in software engineering and a deep focus on scalable applications and solutions, Joel has worked on a range of projects spanning joke databases, IoT, self-driving vehicles, and work management platforms. Prior to joining TDengine, Joel worked in Advisory Services for Enterprise customers of Atlassian and the Systems Engineering team at Waymo. He is currently based in the San Francisco Bay Area.
Real-Time Stream Analytics with TDengine and Prospective
35:33