Geospatial intelligence on Databricks + AWS

Geospatial data is everywhere, site selection, logistics, real-time operations, sustainability reporting. The question isn't whether to use it. It's how to turn it into a platform that scales without runaway costs or six-month implementation cycles.

That's where Databricks on AWS comes in. And where most teams hit the same three walls: the wrong architectural choices early on, financial models that don't survive scale, and delivery timelines that drag.

Why CloudNation and RevoData organize this workshop

In three hours, we walk through how to get all three right. No theory-only slides, the architecture, the operating model, and the decisions that keep performance, cost, and innovation aligned as you scale.

What you'll take away

• How to design geospatial workloads on Databricks + AWS so performance and cost both hold up at scale
• Where AI-assisted development, like Vibe Coding, cuts implementation time meaningfully in practice
• The strategic decisions early on that keep your data platform tied to the business twelve months in

Your speakers

Melika Sajadian shows how geospatial intelligence on Databricks and AWS supports faster, sharper decisions, from site selection to real-time operations.

Justin Zweep walks through how AI-driven approaches like Vibe Coding compress delivery timelines, lower cost, and free engineering capacity for the work that actually moves the business forward.

Konstantinos Bessas covers cloud adoption and optimization strategically, so your data platform stays scalable, cost-efficient, and tied to the outcomes you're chasing.

What you'll leave with

A realistic view of where your current Databricks environment stands, and what it takes to evolve it into a platform that delivers consistent business impact. Small group. Real conversation. Practical insights.

When and where

Date: June 16th
Time: 12 PM to 3 PM
Location: CloudNation, Kosterijland 10, 3981 AJ Bunnik
We start with lunch and move straight into the practical part.