749 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. 01Query Routing at Machine Scale: Multi-Engine Workload Distribution for the Agentic LakehouseQuery routing at machine scale for the agentic lakehouse: engine selection, acceleration substitution, admission control, and placement across multi-engine estates.
  2. 02Securing the Agentic Lakehouse Gateway: A Threat Model for Prompt Injection, Exfiltration, and the Firewall That Reads SentencesA threat model for the agentic lakehouse gateway covering prompt injection, exfiltration, and the firewall that reads sentences.
  3. 03Semantic Layer Federation: One Meaning for Data That Lives EverywhereBuild a federated semantic layer across multi-cloud data so one set of governed metric definitions serves BI tools, dashboards, and AI agents identically.
  4. 04Building Lightweight Serverless Ingestion to Apache Iceberg with PyIceberg and DuckDBBuild lightweight serverless ingestion to Apache Iceberg with PyIceberg and DuckDB, running small feeds in functions that bill for seconds.
  5. 05Building Stateless AI Tool Gateways with FastMCP, the 2026 MCP Spec, and KubernetesHow to build stateless AI tool gateways with FastMCP, the 2026 MCP specification, and Kubernetes, and why statelessness finally makes MCP scale.
  6. 06Zero-Copy Warehouse Modernization: Moving to Apache Iceberg Without DowntimeA practical guide to modernizing a data warehouse to Apache Iceberg without downtime, using federation first, then redirecting new data, then materializing what earns a migration.