Скачать или смотреть From Pain to Performance: Solving the 6 Pitfalls of Cloud BI Migration

Moving BI to the cloud shouldn’t be “same dashboards, new bill”. In this session, Martin Mahler (CEO & Founder, Astrato Analytics) and Alejandro Martinez (CEO & Founder, Propelling Tech) unpack why lift-and-shift fails, where costs hide, how performance and UX often degrade, and the plays that actually deliver adoption: live/ELT pushdown, a governed semantic layer, warehouse-enforced security (RLS/CLS), and app-like experiences.

You’ll learn how to:

– Avoid lift-and-shift traps and redesign for cloud-native BI
– Control TCO with the right unit metrics
– Kill “multiple versions of truth” with a semantic layer + lineage
– Engineer for concurrency and speed (MVs, partitions, caching)
– Put governance where data lives (IdP SSO, RLS/CLS in the warehouse)
– Keep your stack open and AI/embedding-ready

🔖 Chapters

00:00 Welcome & speaker intros
02:18 Why cloud BI now (vendor push + AI readiness)
06:14 Cloud-native vs lift-and-shift (re-design needed)
09:58 Performance realities in the cloud
12:49 Cost reality (licenses, egress, AI add-ons; performance = cost)
19:44 Modernize during migration; what to migrate vs retire
26:00 Shift-left: semantic layer, medallion, self-service that works
33:26 Product-like UX: writeback, workflows, adoption metrics
35:31 Governance in the warehouse (SSO, RLS/CLS, zero-copy)
42:01 Future-proofing: open architecture, AI/BI, data apps, vendor roadmaps
49:17 Six-pitfall recap & action checklist
51:02 Closing & next steps