Build & deploy a Snowflake Native Application using Python
summary
Claims a full Snowflake native app that runs next to the data and is packaged, listed, and monetized; it uses 90–95% Python, a streamlit frontend, Snowpark Python UDFs and a manifest.yaml with setup.sql for role/permission setup. The demo builds a supply‑chain visualization (ski‑goggle parts), uploads source to a stage, creates an app package, installs and runs it in the account with first‑time reference binding — the app boots and the charts render, trial accounts cannot publish.
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chapters (26)
- 0:00Snowflake Native Apps intro
- 1:05Agenda & prerequisites
- 3:53Use case & demo
- 4:58Streamlit in Snowflake
- 7:22Native app benefits
- 9:08Native app building blocks
- 11:57Snowpark Container Services future
- 13:01Monetization & billing
- 14:04Marketplace consumer experience
- 16:32Live demo of app install
- 19:46Lab setup & resources
- 21:35App source code exploration
- 24:49Streamlit frontend in Python
- 25:09User-defined functions in Python
- 27:17SQL & app logic setup
- 30:11Manifest YAML config
- 32:18Snowflake account prep
- 34:47Provider & consumer data setup
- 37:39Loading data into tables
- 44:06Secure data sharing
- 47:33Creating app package
- 51:35Uploading code to stage
- 55:04Installing native app
- 59:26First-time setup & permissions
- 1:04:42Recap & next steps
- 1:06:36Q&A
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