Alex Merced Tutorialshandbook

682 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. 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
  2. 02Moving 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
  3. 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
  4. 04Cross-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
  5. 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
  6. 06Defending the Lakehouse Gateway Against Prompt Injection and Data ExfiltrationDefending the lakehouse gateway against prompt injection and data exfiltration: per-user identity, no-SQL tool surfaces, volume bounds, and detection in query behavior.AI & AgentsAug 04, 2026