---
title: "Discussion on \"Data Lake Framework ft. Apache Hudi\" | Hashnode"
description: "Discussion on \"Data Lake Framework ft. Apache Hudi\". Apache Hudi (Hadoop Upserts Deletes and Incrementals) is a data management framework that helps efficiently store, update, and query large datasets on cloud storage like Amazon S3, HDFS, or Google Cloud Storage.\nWhy do we need Apache Hudi?\nNormally, ..."
url: "https://hashnode.com/posts/data-lake-framework-ft-apache-hudi/67eacbffb549f1194b38e663"
---

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# [Data Lake Framework ft. Apache Hudi](https://blog.rajumandal.com.np/data-lake-framework-ft-apache-hudi?utm_source=hashnode&utm_medium=feed)

Apache Hudi (Hadoop Upserts Deletes and Incrementals) is a data management framework that helps efficiently store, update, and query large datasets on cloud storage like Amazon S3, HDFS, or Google Cloud Storage. Why do we need Apache Hudi? Normally, ...

Oct 27, 2024 · 5 min read · blog.rajumandal.com.np  
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-   [#apache-hudi](https://hashnode.com/tag/apache-hudi)
-   [#aws-glue](https://hashnode.com/tag/aws-glue)

## Written by

[Raju Mandal](https://hashnode.com/@rajumandal)

@rajumandal

  
[View profile](https://hashnode.com/@rajumandal)

Data Platform Engineer/Architect

A digital entrepreneur, actively working as a data platform consultant. A seasoned data engineer/architect with an experience of Fintech & Telecom industry and a passion for data monetization and a penchant for navigating the intricate realms of multi-cloud data solutions.

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