Webinar: Scalable Data Architecture for Utilities & Smart Energy Systems

Building a Real-Time Platform for Millions of Smart Meter Events

Portrait Image of Gregor Bauer
Gregor Bauer
VP Customer Engineering at CrateDB
Date
Wednesday, August 5th, 2026
Time
02:00 pm CET (Vienna)
05:30 pm IST (Delhi)
08:00 am EDT (New York)

Utilities are evolving from periodic reporting to real-time operations. Smart meters, distributed energy resources, EV charging, grid sensors, and digital twins continuously generate massive streams of data that must be processed, analyzed, and visualized within seconds.

In this webinar, we'll explore how to design a scalable data architecture capable of handling millions of smart meter events while providing instant access for dashboards, operational analytics, geospatial monitoring, and digital twin applications. Rather than focusing on theory, we'll demonstrate a live end-to-end platform that ingests streaming telemetry in real time and powers interactive dashboards, network flow visualization, geospatial analytics, and live digital twins without moving data between multiple systems.

Whether you're modernizing an existing utility platform or designing a new smart energy architecture, you'll learn practical architectural patterns for building scalable, cloud-native real-time data platforms.
Screenshot of a "Hydro Power Plant" SCADA digital twin dashboard showing top-level KPIs (plant export, energy generated today, headwater level, river inflow, grid frequency) and a real-time process flow diagram.

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 Gregor Bauer
Gregor Bauer VP Customer Engineering at CrateDB

Gregor leads the team responsible for helping customers unlock the full potential of real-time data and distributed SQL
technologies. His focus lies in enabling organizations to build modern, data-driven applications that scale effortlessly
from IoT and time-series analytics to edge and cloud deployments.