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A Data Engineer's Guide to PyIceberg

A Data Engineer's Guide to PyIceberg



This story was originally published on HackerNoon at: https://hackernoon.com/a-data-engineers-guide-to-pyiceberg.
Learn how PyIceberg simplifies working with Apache Iceberg using Python—no JVM clusters needed. Ideal for small to mid-sized data lakehouses.
Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #pyiceberg, #apache-iceberg, #data-lakehouse, #pyarrow, #duckdb, #python-data-engineering, #open-table-formats, #good-company, and more.

This story was written by: @confluent. Learn more about this writer by checking @confluent's about page, and for more stories, please visit hackernoon.com.

This guide walks data engineers through using PyIceberg, a Python library for managing Apache Iceberg tables without large JVM clusters. It covers setup, schema creation, CRUD operations, and querying with DuckDB. Ideal for teams working with small to medium-sized data, PyIceberg streamlines open data lakehouse workflows using tools like PyArrow and DuckDB.


Published on 2 weeks ago






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