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Datago Academy takes one real failure in a production data or AI system and reconstructs it until you understand the machine underneath. Most engineering education stops where the tutorial ends. This channel starts there. Every episode is built from a primary source — a published postmortem, a regulatory finding, a court decision, a peer-reviewed study — and ends at a failure class you can go looking for in your own systems on Monday. Subjects: data pipelines and orchestration, streaming and Kafka, warehouses and lakehouses, data modelling and semantic layers, data quality and contracts, RAG and retrieval, AI agents, LLM evaluation, governance, and the cost of all of it. Made for engineers who already know the tools and are now responsible for the systems — data engineers, platform and analytics engineers, AI engineers, and the architects and leads above them. No roadmaps. No salary claims. No tool tutorials.