Webinar & Live Demo

Building a Scalable Edge-to-Cloud Data Architecture for Industrial IoT

Portrait Image of Daryl Dudey
Daryl Dudey
Senior Solution Engineer, CrateDB
Date
Wednesday, September 16th, 2026
Time
02:00 pm CET (Vienna)
05:30 pm IST (New Delhi)
08:00 am EDT (New York)

Robotics and IoT are moving from isolated devices to intelligent, connected fleets. Robots, sensors, gateways, and industrial equipment continuously generate high-volume telemetry that must be stored, analyzed, and acted upon in real time.

In this webinar, we’ll explore how CrateDB provides a scalable data foundation for robotics and IoT applications. Through a live end-to-end router demo, we’ll show how streaming device data can be ingested and queried in real time to power operational dashboards, fleet monitoring, historical analysis, and rapid troubleshooting within a single distributed database.

Whether you’re developing autonomous systems, managing connected equipment, or modernizing an industrial IoT platform, you’ll learn practical architectural patterns for turning large volumes of telemetry into immediate operational insight.
A dashboard titled "Edge-to-Cloud Robot Operations" showing a top-down floor plan with robot positions plotted across labeled zones, color-coded by activity type (navigating, picking up, transporting, charging, etc.), plus inbound/outbound truck status panels.

About CrateDB

CrateDB is a distributed SQL database for real-time analytics, search, and AI. It combines structured, semi-structured, and unstructured data in one scalable system, enabling organizations to analyze massive data volumes instantly. Businesses use CrateDB to power live dashboards, event-driven applications, and AI insights, on any infrastructure, from cloud to edge. 
 

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Our Speaker

Portrait Image of Daryl Dudey
Daryl Dudey Senior Solution Engineer, CrateDB

Daryl is a Senior Solutions Engineer at CrateDB with extensive experience designing and delivering real-time, large-scale data systems. He specializes in translating complex customer requirements into clear, pragmatic architectures that balance performance, scalability, and operational simplicity.

 

He works closely with customers from early discovery through to deployment and go-live, drawing on a strong background in distributed databases, streaming pipelines, and analytics workloads.

 

His focus is on realistic deployment strategies that avoid over-engineering while ensuring systems perform reliably in production. Known for a hands-on, technically rigorous approach, he bridges the gap between business goals and engineering reality, helping customers adopt CrateDB with confidence.