Coding Tutorials by Alex Merced

A semantic layer is necessary, but agents also need lineage, quality, freshness, compliance, and ownership context.

Agentic AI announcements are useful when they validate the need for governed data, semantic context, and cost-aware execution.

Event-driven compaction is valuable when agents coordinate maintenance with workload signals, table health, and commit safety.

Microsoft Fabric agentic analytics is a reminder that schemas, semantic models, and governed lakehouse design now shape AI behavior.

Apache Iceberg v4 discussion should focus on planning cost, metadata layout, and object storage round trips, not vague claims about faster tables.

Machine-speed analytics requires machine-enforced policy, identity, masking, filtering, and audit controls.