795 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.
Follow an ordered learning track with prerequisites and checkpoints →
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Latest tutorials
Page 15 of 133- 01Goal-Directed Data Quality Agents: Anomaly Quarantine on Apache IcebergGoal-directed data quality agents that watch Apache Iceberg tables, detect anomalies, and quarantine suspect data safely with snapshot isolation and branches.AI & AgentsAug 19, 2026
- 02Policy-Aware Lakehouse Telemetry: Building Auditable AI Records on Apache Iceberg for the EU AI Act EraPolicy-aware lakehouse telemetry for the EU AI Act era: build auditable, immutable, governed AI decision records on Apache Iceberg.GovernanceAug 19, 2026
- 03Query Routing at Machine Scale: Multi-Engine Workload Distribution for the Agentic LakehouseQuery routing at machine scale for the agentic lakehouse: engine selection, acceleration substitution, admission control, and placement across multi-engine estates.AI & AgentsAug 19, 2026
- 04Metric Contracts in 2026: Standardizing Business Logic Across Multi-Agent FrameworksMetric contracts in 2026: versioned, testable definitions of business logic that let multi-agent frameworks compute revenue identically, with OSI interchange.AI & AgentsAug 19, 2026
- 05The Five Layers of an Agentic LakehouseThe five layers of an agentic lakehouse: Storage, Catalog, Semantic, Gateway, and Agent Surface, and how one question travels through all of them.AI & AgentsAug 19, 2026
- 06Managing the TCO of Agentic Analytics: Token Budgets, Query Throttles, and the Economics of AutonomyManaging the total cost of agentic analytics: token budgets, query throttles, unit economics, and the FinOps discipline that keeps AI spend under control.AI & AgentsAug 19, 2026