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 39 of 133- 01Fabric 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
- 02Fine-Grained Security for AI AgentsMachine-speed analytics requires machine-enforced policy, identity, masking, filtering, and audit controls.LakehouseJun 22, 2026
- 03Iceberg v4 Performance: Root Manifests and CallsApache Iceberg v4 discussion should focus on planning cost, metadata layout, and object storage round trips, not vague claims about faster tables.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
- 05What Is LTAP in the Lakehouse?Lakehouse transactional analytical processing is useful only when teams define freshness, isolation, and workload boundaries clearly.LakehouseJun 22, 2026
- 06The Model Is Not the MoatEnterprise AI advantage increasingly comes from governed context, semantic models, and operational data contracts, not only from model choice.LakehouseJun 22, 2026