From the course: Build with AI: Data Pipelines with Cursor, Neon, and Streamlit
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Deploy the Streamlit dashboard
From the course: Build with AI: Data Pipelines with Cursor, Neon, and Streamlit
Deploy the Streamlit dashboard
- [Speaker] Now our dashboard currently exists only on our local system, and you can only see it on your computer, which is why the link that you see on this page starts with local host. But I'm going to show you how you can use the service streamlit cloud to deploy your dashboard online for free so that you can show it to anyone. So I've opened the streamlit dashboard using my terminal script, and it's running locally in my browser just like I showed you before. But now, I'm going to go here and select the Deploy button. And here, I have a few options, but I'm going to use Streamlit Community Cloud, which is the free option. And I'm going to select Deploy now. Now I need to sign in with a Streamlit account, and if you don't have it, go ahead and create an account. Next, I need to sign in with my GitHub account because I will need to connect my GitHub repository to streamlit. After signing in to streamlit and also…
Contents
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OpenAlex quick start: Analyze data for Python data pipelines6m 59s
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Data extraction layer: Get data from OpenAlex22m 40s
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Neon database setup: Cloud PostgreSQL for data pipeline projects9m 50s
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Design table schema and create a table in the database9m 50s
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Process and load your data12m 23s
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Data quality testing11m 21s
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Consolidate pipeline logic8m 38s
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Build a Streamlit dashboard7m 58s
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Deploy the Streamlit dashboard7m 28s
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