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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  1. 01The Decoupled Data Lakehouse: Multi-Engine Freedom with Open REST CatalogsThe decoupled data lakehouse: multi-engine freedom with open REST catalogs, credential vending, and an estate that outlives its tools.
  2. 02The 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.
  3. 03Goal-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.
  4. 04Managing 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.
  5. 05Metric 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.
  6. 06Policy-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.