LECTURE 48 | STREAMLIT | BUILD APP IN MINUTE | FRONT-END MADE EASY | SNOWFLAKE | LIVE |

👋 HELLO EVERYONE! 👨‍💻👩‍💻👨‍🎓👩‍🎓
🌍 WELCOME TO THE WORLD OF ANALYTICS! 📊

Welcome to Lecture 48 of the Snowflake Series 🔵 —
And this time, we’re doing something truly next-level! 🚀

Get ready to experience how Streamlit — one of the most popular open-source frameworks for interactive data apps — works directly inside Snowflake!
Yes, you heard that right — no separate deployment, no external hosting — you can now build and run Streamlit apps natively within the Snowflake ecosystem.

💡 What makes this session special?

✨ We’re not just building a basic demo app —
We’re building a real, production-ready Streamlit app inside Snowflake!

✨ You’ll learn how to:

Create interactive dashboards and analytics apps directly in Snowflake
Leverage Snowflake’s compute power and data security with Streamlit’s simplicity
Build real-time data visualizations that update instantly from Snowflake tables
Deploy Streamlit apps inside Snowflake Worksheets — no extra setup needed
Use Snowpark and Python to make your Streamlit apps dynamic and data-driven

✨ This is how modern data teams are embedding analytics at scale — without leaving Snowflake!

🎯 Key Learnings from this Session:

Introduction to Streamlit in Snowflake
Setting up Streamlit apps inside your Snowflake environment
Building interactive dashboards powered by Snowflake tables
Using Snowpark Python APIs for backend logic
Best practices for deploying and managing Streamlit apps in production

Resource Link : https://github.com/anandjha90/ANALYTICSWITHANAND/tree/SNOWFLAKE/LECTURE%2048%3ASTREAMLIT

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📅 Course Kick-Off: 8th Nov 2025

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📚 Full Syllabus:
https://docs.google.com/spreadsheets/d/e/2PACX-1vT5lw2aEDnXLOkdHWf7Y5yQ9nFxPG0Eqa2CmjK7rcxleHFr40RcevHOYheUWkBxgcMCKuS2EGrjiDWd/pubhtml

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