775 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.
Browse by topic
All topics- Apache Iceberg201
- Data Lakehouse201
- Data Engineering183
- Dremio66
- AI Agents59
- developer tools35
- Apache Polaris33
- AI coding tools31
- agentic development31
- MCP29
- Semantic Layer29
- AI28
- Databases28
- Lakehouse26
Latest tutorials
Page 37 of 130- 01When Gatekeepers Panic: The Encyclopédie, Open AI Models, and the Politics of Accessible KnowledgeThe fight over open AI models mirrors the 18th-century suppression of Diderot's Encyclopédie, revealing the same pattern of institutional fear of accessible knowledge.AI & SocietyJul 06, 2026
- 02The Who, What, and Why of Semantic Layers: The Layer That Decides Whether Your Numbers Can Be TrustedCross-posted. This article’s canonical home is iceberglakehouse.com. The Who, What, and Why of Semantic Layers: The Layer That Decides …LakehouseJul 06, 2026
- 03AI-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
- 04Autonomous Materialization for Agentic AnalyticsAutonomous materialization is useful when it is tied to workload evidence, governance checks, and lifecycle management.LakehouseJun 22, 2026
- 05Composable Semantic Layers for Analytical AgentsAI agents need more than metric names. They need composable business logic that survives multi-step analysis.LakehouseJun 22, 2026
- 06Built 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