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 17 of 133- 01The Plan and the Worker: Two Open Specifications for Agent HarnessesTwo open specifications, the Agentic Graph Specification and the Open Agent Profile, turn agent plans and agent identity into portable, reviewable files.AI & AgentsAug 10, 2026
- 02Apache Arrow Flight and ADBC, and Why Database Connectivity Finally Went ColumnarCross-posted. This article’s canonical home is Alex Merced’s Lakehouse Blog. A data scientist runs a query against a warehouse. The engine…Data EngineeringAug 06, 2026
- 03Budgeting for Agentic Analytics When Every Question Costs Something DifferentBudgeting for agentic analytics when every question costs something different: token economics, query economics, instrumentation, and the cost controls that actually return.AI & AgentsAug 04, 2026
- 04The Five Layers of an Agentic Lakehouse and Where the MCP Server SitsThe five layers of an agentic lakehouse and where the MCP server sits: storage, catalog, semantic layer, MCP gateway, and agent surface, plus identity, session isolation, and budgets.AI & AgentsAug 04, 2026
- 05Wiring Analytical Queries to Transactional APIs in Closed-Loop Decision AgentsWiring analytical queries to transactional APIs in closed-loop decision agents: conditional writes, sagas with compensations, decision records, and blast radius controls.AI & AgentsAug 04, 2026
- 06Building Apache Iceberg Lakehouses That Run Without an Internet ConnectionHow to build an Apache Iceberg lakehouse that runs fully offline: storage, catalog, compute, cross-zone transfer, compliance, and the failure modes that bite.Data LakehouseAug 04, 2026