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Coursera8h

Lakehouse Architecture for AI-Native Data Platforms

This course focuses on designing governed, scalable lakehouse architectures that support AI-native data platforms. Learners translate AI workload requirements into data product SLOs, compare open table formats, design ingestion and replay strategies, manage schema evolution, support reproducibility, and define observability signals for freshness, latency, throughput, and cost. The course emphasizes architecture and operational patterns rather than vendor-specific platform administration. By the end of the course, learners can explain when a lakehouse is preferable to a warehouse or data lake f

All levels

SubscriptionView on Coursera
Coursera4.5(2K)·14h

Site Reliability Engineering: Measuring and Managing Reliability

Google's course on SLIs, SLOs, and error budgets — the foundation of SRE practice.

Intermediate

SubscriptionView on Coursera
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