A Data Engineer's Guide to PyIceberg

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.

This article shows data engineers how to use PyIceberg, a lightweight and powerful Python library. PyIceberg makes it easier to perform common data tasks like creating, reading, modifying, or deleting data in Apache Iceberg, without needing a big cluster.

Driven by complex business demands and the need to analyze larger volumes of information, data platforms have transformed significantly over the past few years to help businesses extract more insights and value from their diverse sources of data.

For enterprise analytics use cases, the open data lakehouse platform has been at the forefront of ...