ScaDaMaLe — Scalable Data Science and Distributed Machine Learning — is one of VakeWorks’ Digital Sovereignty Workshops, Courses + Services. It was delivered as a WASP PhD course archives in 2020-2022 with sponsorship from Combient Mix, Wallenberg AI Autonomous Systems and Software Program (WASP), the Department of Mathematics and Centre for Interdisciplinary Mathematics at Uppsala University, and Databricks University Alliance + AWS credits. The interactive Course Pathways app below is a sovereignty-respecting local mirror of lamastex.github.io/ScaDaMaLe (US-hosted GitHub) — hosted here on VakeWorks’ EU/Hetzner infrastructure for jurisdiction-explicit access continuity.
- Course book + bound notebooks: SovScaDesDisMaLOps 2025 book + slides
- Source notebooks (Databricks DBC + GitHub): see the individual cards in the pathway app below — every card carries
book,site, and.dbcdirect links. - Related: Research · Publications · Talks · Services
The Course Pathways app is also available standalone at /courses/ScaDaMaLe-app/ if your browser blocks iframes.
