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The Ultimate Guide to Snowpark

You're reading from   The Ultimate Guide to Snowpark Design and deploy Snowflake Snowpark with Python for efficient data workloads

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781805123415
Length 254 pages
Edition 1st Edition
Languages
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Authors (2):
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Shankar Narayanan SGS Shankar Narayanan SGS
Author Profile Icon Shankar Narayanan SGS
Shankar Narayanan SGS
Vivekanandan SS Vivekanandan SS
Author Profile Icon Vivekanandan SS
Vivekanandan SS
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Toc

Table of Contents (14) Chapters Close

Preface 1. Part 1: Snowpark Foundation and Setup
2. Chapter 1: Discovering Snowpark FREE CHAPTER 3. Chapter 2: Establishing a Foundation with Snowpark 4. Part 2: Snowpark Data Workloads
5. Chapter 3: Simplifying Data Processing Using Snowpark 6. Chapter 4: Building Data Engineering Pipelines with Snowpark 7. Chapter 5: Developing Data Science Projects with Snowpark 8. Chapter 6: Deploying and Managing ML Models with Snowpark 9. Part 3: Snowpark Applications
10. Chapter 7: Developing a Native Application with Snowpark 11. Chapter 8: Introduction to Snowpark Container Services 12. Index 13. Other Books You May Enjoy

Developing the native application

The initial step involves developing a Streamlit application to illustrate the development of the Snowpark model. The application provides a user-friendly interface that streamlines the exploration and understanding of Snowpark’s underlying data and modeling techniques. Within Snowflake, the Streamlit application can be developed through a dedicated Python editor within Snowsight. This editor empowers users to write, edit, and execute code for their Streamlit applications effortlessly. Notably, it offers invaluable features such as auto-completion and comprehensive documentation, facilitating a smooth and intuitive development experience while leveraging the full potential of Streamlit and Snowpark functionalities. We will be using this editor to develop the Streamlit application.

Let’s delve into the detailed steps of creating a Streamlit application within the Snowflake environment:

Note

The CREATE STREAMLIT privilege is required...

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