Alex Merced Tutorialshandbook

682 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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Page 7 of 114
  1. 01Wiring an AI Agent to Apache Polaris with the Model Context ProtocolThe catalog is the right attachment point for AI agents working against a lakehouse. Here's how to wire the official Polaris MCP Server and add the read path it deliberately leaves out.Apache IcebergJul 28, 2026
  2. 02Governing Iceberg Tables Across Regions Without Three Sets of PermissionsCatalog federation gives you one authorization model and one audit point across regions. Here's what it solves, what it doesn't, and how to build a topology you can actually govern.Apache IcebergJul 28, 2026
  3. 03Federating Oracle With an Open Lakehouse Instead of Migrating ItFederate first so analytics work now, migrate what benefits from migrating, and leave the rest where it is indefinitely. Here's how pushdown and view layers make it work.Apache IcebergJul 28, 2026
  4. 04The Parquet Versioning Problem, and Why Iceberg Cares About ItParquet files have a version field that doesn't reliably signal feature requirements. A new versioning discipline is coming, borrowing from Iceberg's format version model.Apache IcebergJul 28, 2026
  5. 05Building Iceberg Pipelines in Python Without Standing Up SparkA large share of production transformations fit comfortably on one machine. PyIceberg, DuckDB, and branch isolation give you a production path that debugs in an IDE.Apache IcebergJul 28, 2026
  6. 06Governing What Agents Cost YouAgents break the four assumptions analytics platforms were built on. A practical guide to identity, budgets, semantic layers, caching, and instrumentation for agent workloads.AI & AgentsJul 25, 2026