775 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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Latest tutorials
Page 38 of 130- 01ClickHouse in the Loop for Active AgentsLow-latency analytical systems can help active agents, but only when event loops include validation, context, and safety boundaries.LakehouseJun 22, 2026
- 02The Context Layer for AI AgentsA semantic layer is necessary, but agents also need lineage, quality, freshness, compliance, and ownership context.LakehouseJun 22, 2026
- 03Lakehouse as the Operating Layer for Agentic AIAgentic AI announcements are useful when they validate the need for governed data, semantic context, and cost-aware execution.LakehouseJun 22, 2026
- 04Event-Driven Table Compaction with AgentsEvent-driven compaction is valuable when agents coordinate maintenance with workload signals, table health, and commit safety.LakehouseJun 22, 2026
- 05Fabric Agentic Analytics and Lakehouse Schema DesignMicrosoft Fabric agentic analytics is a reminder that schemas, semantic models, and governed lakehouse design now shape AI behavior.LakehouseJun 22, 2026
- 06Fine-Grained Security for AI AgentsMachine-speed analytics requires machine-enforced policy, identity, masking, filtering, and audit controls.LakehouseJun 22, 2026