krishna-aditi / snowflake-tutorials

This repository provides various demos/examples of using Snowpark for Python. Please navigate to each of the subfolders to learn more about a specific demo/example.

ADM - Snowflake Tutorials

This repository provides the following demos of using Snowpark for Python:

• Credit Card Fraud Detection
• Customer Spend Prediction Model
• Retail Churn Analytics
• Advertising Spend and ROI Prediction

Codelabs report link: https://codelabs-preview.appspot.com/?file_id=1Io9g68KxiW9LGDAA-0bcDiJoBCMgaOTtjZLAErwMT0k#4

Snowpark For Python Overview

• The Snowpark for Python library provides intuitive API for querying and processing data using DataFrames
• It can be used to build applications that process data in Snowflake without having to first move data out of Snowflake
• The library also enables data application developers to run complex transformations within Snowflake (using User-Defined Functions, User-Defined Table Functions, and Stored Procedures) while taking advantage of the built-in unlimited scalability, performance, governance and security features

Reference

• https://www.kaggle.com/uttamp/store-data
• https://docs.snowflake.com/en/user-guide/data-load-s3-config-storage-integration.html
• https://github.com/Snowflake-Labs/snowpark-python-demos
• https://quickstarts.snowflake.com/guide/getting_started_with_snowflake/index.html#0