Deploying A Python Application In Snowflake Hands - On

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Deploying A Python Application In Snowflake Hands-On
Published 2/2025
Created by Cristian Scutaru
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 31 Lectures ( 4h 49m ) | Size: 2.74 GB
Learn to design and deploy different application architectures in Snowflake using Python and SQL​

What you'll learn
How to properly deploy an application into the Snowflake AI Data Cloud in multiple ways.
How to visualize the different building blocks of a data application.
How to think in terms of system architecture, modularity and scalability, when building and deploying a data application.
How to implement simple business logic in Python and get the code executed by the Snowflake SQL engine.
Requirements
Basic Python programming skills
Basic knowledge of SQL
Some familiarity with the Snowflake platform
Description
This course will take one simple ETL/ELT piece of Python/SQL code and deploy it in over a dozen different ways, in Snowflake or connected to Snowflake. Each time describing the system architecture and the implications. On scalability, data protection and security, how close to the data the code runs.Who this course is forPython developers looking to extend their knowledge of Snowflake.Aspiring Data Architects, with focus on Snowflake.Solution Architects with a goal of understanding all sorts of Snowflake application development.Data Engineers looking to move into Data Architecture.Any technical person willing to better understand all sorts of architectures in Snowflake AI Data Cloud.What you will learnHow to properly deploy an application into the Snowflake AI Data Cloud in multiple ways.How to implement simple business logic in Python and get the code executed by the Snowflake SQL engine.How to get from a simple Streamlit local web app to a complex Native App running in Snowflake Containers.How to think in terms of system architecture, modularity and scalability, when building and deploying a data application.How to visualize the different building blocks of a data application.How to generate fake data with either built-in Snowflake functions or Python libraries.What kind of architectures we'll present hereSQL Worksheets and Python WorksheetsSnowflake Connector for PythonSnowpark DataFrame API and Snowpark for stored procsPandas DataFrame APIStored Procedures in Python and Execute as CallerJupyter Notebooks and Snowflake NotebooksStreamlit Web Apps and Streamlit Community CloudStreamlit in Snowflake ApplicationsSecure Data SharingSnowflake Native AppsSnowpark Container ServicesVSCode Extensions for Snowflake and Jupyter
Who this course is for
Python developers looking to extend their knowledge of Snowflake.
Aspiring Data Architects, with focus on Snowflake.
Solution Architects with a goal of understanding all sorts of Snowflake application development.
Data Engineers looking to move into Data Architecture.
Any technical person willing to better understand all sorts of architectures in Snowflake AI Data Cloud.
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