Get started with Snowflake today for free: https://signup.snowflake.com/?template=us_economy_agent

Today I'm going to teach you Snowflake by building a real project. By the end of this video, we'll have a conversational AI agent that can answer plain English questions about the US economy. It is a cloud data platform where companies store massive amounts of data and then analyze it.

Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter

🚀 Tools I Use
Get 10% off with code techwithtim
Openclaw setup: https://www.hostinger.com/techwithtim
VPS setup: https://www.hostinger.com/techwithtim10 

🎞 Video Resources 🎞
Get the juypter notebook here: https://www.techwithtim.net/snowflake-economy-agent

⏳ Timestamps ⏳
00:00 | Overview 
00:31 | What is Snowflake? 
03:12 | Snowflake Project Setup
04:55 | Free Data Source
06:55 | Exploring the Data 
12:30 | Snowpark in Python
24:09 | Dynamic Tables/Views
29:41 | Semantic Views & Cortex Analyst
35:00 | Streamlit App
40:17 | Cortex Analyst REST API

Hashtags
#Snowflake #Python #Streamlit

UAE Media License Number: 3635141

TechWithTim, founded by Tim Ruscica, is a popular YouTube channel and blog offering tutorials, guides, and projects on programming, game development, and machine learning. With a friendly and approachable teaching style, Tim covers a wide range of topics, including Python programming, game development with Pygame, and machine learning algorithms with TensorFlow and Keras. Developers of all skill levels can benefit from TechWithTim's engaging content and hands-on coding projects, making it an in resource for learning and honing technical skills.

Tech With Tim

A hands-on tutorial building a conversational AI agent for querying US economic data entirely within Snowflake. Covers setting up a free Snowflake account, exploring public marketplace datasets (CPI, unemployment, mortgage rates), using Snowpark (Python) to transform data, creating a self-refreshing dynamic table, defining a semantic view for Cortex Analyst, and deploying a Streamlit dashboard inside Snowflake. Also demonstrates calling the Cortex Analyst REST API from a local Python script to query data programmatically.

Learn Snowflake with ONE Project