Python Iceberg Protector on

Introduction

Mon, 01 Jan 0001 00:00:00 +0000

The Python Iceberg Protector enables secure, policy-driven protection of sensitive data processed through Python-native Apache Iceberg workflows. It extends data-centric protection capabilities to Python Iceberg-based pipelines, ensuring that sensitive data remains protected at every stage of the data lifecycle from ingestion and transformation to storage and analytics.

Python Iceberg Protector depends on PyArrow, which is backed by C++, for data operations. It allows applications to read, write, and manage Iceberg tables, while maintaining full compatibility with Iceberg’s table format and metadata model. It operates within a layered Iceberg architecture consisting of catalog, metadata, and storage layers, enabling scalable and ACID-compliant data operations.

Understanding the Architecture

Mon, 01 Jan 0001 00:00:00 +0000

The architecture of the Iceberg Protector using Python is depicted in the following diagram:

Client Applications Layer: Two entry points access the data.
- Python / PySpark / Databricks / Trino / Snowflake: Query engines and compute frameworks that read/write via Python Iceberg.
- Python App / Pandas / DuckDB, etc.: Lightweight Python-based applications that access data directly through PyArrow.
Python Iceberg: The table-format layer that sits between the query engines and storage. It handles Iceberg table semantics like snapshots, schema, partitions. It also communicates with the Catalog or metadata store to resolve table locations and metadata.

Understanding the System Requirements

Mon, 01 Jan 0001 00:00:00 +0000

Ensure that the following prerequisites are available before installing the Python Iceberg Protector:

Any of the following supported distributions of the Linux operating system is available:
- CentOS/RHEL 8 or later
- Debian v10 or later
- Fedora v29 or later
- Ubuntu v18.10 or later
Python version 3.12 is installed on the system. The configurator script requires Python.
The pip module is installed.
The unzip package is installed.
A text editor is installed.
ESA v10.x is installed, configured, and running.
The PIM is initialized and a policy is created.
A user with sudo privileges is created. The privileges are required to modify the /etc/hosts file for the dynamic policy approach.
The logged-in user is the same as the ESA policy user.
Docker is installed and configured. This is required only for installing the build using a Docker image.
Virtual environment is available. This is required only for installing the build using a virtual environment.
Windows Subsystem for Linux is available.