749 tutorials · free to read
A working handbook for data and software engineering.
Hands-on tutorials by Alex Merced on Apache Iceberg, the data lakehouse, pipelines, agentic AI, and the languages and tools that hold it all together.
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Latest tutorials
Page 33 of 125- 01AI-Ready Metadata Prevents Query FailuresAI-ready metadata reduces query failures by making ownership, freshness, lineage, quality, and policy visible at execution time.LakehouseJun 22, 2026
- 02Autonomous Materialization for Agentic AnalyticsAutonomous materialization is useful when it is tied to workload evidence, governance checks, and lifecycle management.LakehouseJun 22, 2026
- 03Composable Semantic Layers for Analytical AgentsAI agents need more than metric names. They need composable business logic that survives multi-step analysis.LakehouseJun 22, 2026
- 04Built for Agents and Managed by AgentsDremio Agentic Lakehouse is easiest to understand as two ideas: data built for agent access and platform work managed by agents.LakehouseJun 22, 2026
- 05ClickHouse in the Loop for Active AgentsLow-latency analytical systems can help active agents, but only when event loops include validation, context, and safety boundaries.LakehouseJun 22, 2026
- 06The Context Layer for AI AgentsA semantic layer is necessary, but agents also need lineage, quality, freshness, compliance, and ownership context.LakehouseJun 22, 2026