Learn to design and deploy different application architectures in Snowflake using Python and SQL
What you will 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.
Why take this course?
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 for
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- 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.
What you will learn
- How 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 here
- SQL Worksheets and Python Worksheets
- Snowflake Connector for Python
- Snowpark DataFrame API and Snowpark for stored procs
- Pandas DataFrame API
- Stored Procedures in Python and Execute as Caller
- Jupyter Notebooks and Snowflake Notebooks
- Streamlit Web Apps and Streamlit Community Cloud
- Streamlit in Snowflake Applications
- Secure Data Sharing
- Snowflake Native Apps
- Snowpark Container Services
- VSCode Extensions for Snowflake and Jupyter
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