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Cloud-Native Geoscience Data Workflows

Cloud-Native Geoscience Data Workflows
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Learner Profiles
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EPISODES

Summary and Setup

1. Data Formats, Metadata, and Vocabulary

2. Challenges of N-Dimensional Data

3. Cloud-Native Formats

4. Zarr Data Model and Chunked Storage

5. Python for Zarr

6. Choosing Chunks at Scale

7. Parallel Processing with Zarr

8. Reading Real-World Zarr Datasets in Python

9. Object Storage and Cloud Data Organization

10. Converting Traditional Formats to Zarr

11. Case Studies

12. Versioning Data with Icechunk

13. Virtual Zarr with Virtualizarr

14. Organizing Cloud Zarr Data with STAC

15. Visualizing Multiscale Zarr and GeoZarr

16. Architecture and Best Practices

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Learner Profiles
Discussion

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Additional material

Last updated on 2026-07-03 | Edit this page

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