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.

9m read time From medium.com
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Table of contents
Building Analytical Apps on the Lakehouse using Apache Hudi, Daft & StreamlitOpen Lakehouse PlatformHudi + Daft IntegrationHands-on DashboardConclusion & Future Work

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