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title: Write-Audit-Publish for Data Lakes in Pure Python (no JVM)
description: This post provides a reference implementation for Write-Audit-Publish (WAP) patterns on a data lake using Apache Iceberg and Project Nessie, all running in...
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# Write-Audit-Publish for Data Lakes in Pure Python (no JVM)

**[Medium](https://daily.dev/sources/medium_js)** · 8 min read · 0 upvotes · 0 comments

## Summary

This post provides a reference implementation for Write-Audit-Publish (WAP) patterns on a data lake using Apache Iceberg and Project Nessie, all running in Python without the need for a JVM. It discusses the concept of WAP, the architecture and workflow of the implementation, and the advantages of using tables, interoperability, and branching in the implementation. The post also mentions the possibility of moving to a full Lakehouse architecture and concludes by highlighting the simplicity and flexibility of the Python-based developer experience.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/write-audit-publish-for-data-lakes-in-pure-python-no-jvm-25fbd971b17d>

---

Tags: [#aws](https://daily.dev/tags/aws), [#python](https://daily.dev/tags/python), [#aws-lambda](https://daily.dev/tags/aws-lambda), [#apache-iceberg](https://daily.dev/tags/apache-iceberg)

[View this post on daily.dev](https://daily.dev/posts/write-audit-publish-for-data-lakes-in-pure-python-no-jvm--bmjyz4ovn)

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