Alex Merced • 4/29/2026

Using Apache Iceberg with Python and MPP Query Engines

This article is Part 12 of a 15-part Apache Iceberg Masterclass, focusing on accessing Iceberg data from Python and MPP query engines. It covers PyIceberg for native Python access, DuckDB for SQL-based analysis, and Polars for high-performance DataFrames, including code examples for reading and writing. The article also discusses MPP engines like Dremio, Spark, and Trino, and provides guidance on choosing the right approach. It is a technical tutorial aimed at developers and data engineers working with data lakehouse architectures.

0 comments

#Python #Duckdb #Apache Iceberg