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.
Table of contents
Building Analytical Apps on the Lakehouse using Apache Hudi, Daft & StreamlitOpen Lakehouse PlatformHudi + Daft IntegrationHands-on DashboardConclusion & Future Work6 Impressions