Case Studies

Last updated on 2026-08-05 | Edit this page

Estimated time: 45 minutes

Overview

“How are different teams and organisations actually converting and serving data in practice?”
“What problems do they face, and which solutions have worked well (or badly)?”
“What lessons can we take from their architectures and workflows for our own projects?”

“Hear real-world experiences from practitioners applying cloud‑native data workflows.”
“Understand how different organisations approach data conversion, cataloguing, versioning, and visualisation.”
“Reflect on how these examples inform your own architectural and best‑practice decisions.”

In this open session, invited speakers will briefly present their experience (e.g. 10-12 minutes each):

Where they work and what kinds of data and applications they focus on.
How they are converting and organising data (NetCDF → Zarr, virtual Zarr, STAC, GeoZarr, Icechunk, etc.).
The main applications, users, and performance constraints they design for.
Key architectural decisions, trade‑offs, and implications (governance, cost, reproducibility, operations).

After each talk, there will be a short Q&A, followed by a joint discussion at the end of the session.

Key Points

“Real-world case studies show that cloud-native architectures differ by mission, user needs, scale, and operational constraints.”
“Successful teams make explicit trade-offs among performance, cost, governance, reproducibility, and maintainability.”
“Common building blocks include Zarr (physical or virtual), STAC for discovery, and versioning approaches for controlled updates.”
“Architectural decisions should be guided by concrete workloads and user access patterns, not only by tool popularity.”
“Cross-team sharing of implementation lessons helps avoid repeated mistakes and speeds up adoption of robust workflows.”