---
title: "Building Analytical Apps on the Lakehouse using Apache Hudi, Daft & Streamlit"
url: https://daily.dev/posts/building-analytical-apps-on-the-lakehouse-using-apache-hudi-daft-streamlit-5xqewex5g
source_url: https://medium.com/apache-hudi-blogs/building-analytical-apps-on-the-lakehouse-using-apache-hudi-daft-streamlit-3224766fe58a
type: article
source: "Medium"
published: 2024-05-13T08:35:49.088Z
updated: 2024-05-13T08:35:48.275Z
tags: ["big-data"]
reading_time: 9
upvotes: 3
comments: 0
language: en
---

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# Building Analytical Apps on the Lakehouse using Apache Hudi, Daft & Streamlit

**[Medium](https://daily.dev/sources/medium_js)** · 9 min read · 3 upvotes · 0 comments

## Summary

This post discusses the process of building analytical apps on a lakehouse using Apache Hudi, Daft, and Streamlit. It highlights the benefits of user-facing analytical apps and the advantages of low-code tools like Streamlit. It also explains the concept of a lakehouse architecture, which integrates traditional databases with data lakes.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/apache-hudi-blogs/building-analytical-apps-on-the-lakehouse-using-apache-hudi-daft-streamlit-3224766fe58a>

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---

Tags: [#big-data](https://daily.dev/tags/big-data)

[View this post on daily.dev](https://daily.dev/posts/building-analytical-apps-on-the-lakehouse-using-apache-hudi-daft-streamlit-5xqewex5g)
