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PyIceberg provides a Python library for interacting with Apache Iceberg tables, enabling data engineers and data scientists to manage and query large-scale, open data lake tables using Python.
Apache PyIceberg is the official Python client for the Apache Iceberg table format. It allows Python developers to programmatically work with Iceberg datasets, supporting operations like reading, writing, schema evolution, and partitioning.
Working with traditional file formats or database systems for large-scale analytical data can be challenging due to lack of transactionality, schema evolution issues, and difficulty in managing large partitions. PyIceberg leverages the Iceberg format to provide reliable, high-performance data lake operations accessible directly within the Python ecosystem.
Provides native Python bindings to interact with Iceberg catalogs and tables.
Handles changes to table schema over time without requiring data rewriting.
Manages data partitioning and underlying data files efficiently.
PyIceberg is ideal for various data engineering and data science workflows within a Python environment, including:
Use Python scripts to programmatically create Iceberg tables, add data, and manage table lifecycle.
Simplifies data lake setup and management using familiar Python tools.
Implement data transformation and loading processes directly in Python, reading from and writing to Iceberg tables.
Enables efficient data processing pipelines with transactional guarantees provided by Iceberg.
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