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 19 of 133- 01Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context ProtocolWhy agentic AI needs a governed semantic layer behind the Model Context Protocol: metric consistency, access control, Apache Ossie for portable definitions, and Apache Polaris for enforcement.AI & AgentsAug 04, 2026
- 02Cross-Cloud Credential Vending in Apache Polaris and the End of Permanent Storage KeysHow Apache Polaris vends short-lived, prefix-scoped storage credentials across AWS, Azure, and GCP, and how to retire permanent storage keys for good.Apache PolarisAug 04, 2026
- 03Metric Contracts as the Interface AI Agents Actually NeedMetric contracts as the interface AI agents need: calculation, inclusion rules, grain, temporal semantics, ownership, semantic versioning, and testing metrics in CI.AI & AgentsAug 04, 2026
- 04Moving From Supply Chain Dashboards to Decision Loops With the Model Context ProtocolMoving from supply chain dashboards to decision loops with MCP: sense, decide, act, and verify, with typed action tools, idempotency keys, and graduated human approval.AI & AgentsAug 04, 2026
- 05Designing Policy-Aware Telemetry Tables for AI Systems in Apache IcebergDesigning policy-aware AI telemetry tables in Apache Iceberg: what to log, tamper evidence, retention against conflicting deletion requirements, and tracing agent decisions.AI & AgentsAug 04, 2026
- 06How the Iceberg REST Catalog Turned Into the Lakehouse Control PlaneHow the Iceberg REST catalog became the lakehouse control plane: multi-table atomic commits, credential vending, capability negotiation, and what still breaks.Apache IcebergAug 04, 2026