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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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781805123415

Length 254 pages

Edition 1st Edition

Languages

Python

Tools

Snowflake

Concepts

Data Engineering

Authors (2):

Shankar Narayanan SGS

Vivekanandan SS

View More author details

Table of Contents (14) Chapters

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

Why subscribe?

13. Other Books You May Enjoy

Technical requirements

For this chapter, you require an active Snowflake account and Python installed with Anaconda configured locally. You can refer to the following documentation for installation instructions:

You can sign up for a Snowflake Trial account at https://signup.snowflake.com/
To configure Anaconda, follow the guide at https://conda.io/projects/conda/en/latest/user-guide/getting-started.html
To install and set up Python for VS Code, follow the guide at https://code.visualstudio.com/docs/python/python-tutorial
To learn how to operate Jupyter Notebook in VS Code, go to https://code.visualstudio.com/docs/datascience/jupyter-notebooks

The supporting materials for this chapter are available in this book’s GitHub repository at https://github.com/PacktPublishing/The-Ultimate-Guide-To-Snowpark.

The rest of the chapter is locked

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Authors (2)

Shankar Narayanan SGS

Shankar Narayanan SGS

Shankar Narayanan is a Technical Architect with over a decade of diverse experience leading and delivering large-scale Data and Cloud implementations for Fortune 500 companies across various industries. He has successfully implemented Snowflake Data Cloud for many organizations leading the customers to adopt Snowflake. He holds a bachelor's and master's degree in Computer science and holds many certifications in multi-cloud platforms and Snowflake. He is an award-winning blogger and actively contributes to various technical publications and open-source projects. For his technical contribution to the community, He has been selected as SAP Community Topic leader by SAP and is selected as one of the 72 Snowflake Data Heroes by Snowflake.

See other products by Shankar Narayanan SGS

Vivekanandan SS

Vivekanandan SS

Vivekanandan spearheads the GenAI enablement team at Verizon, leveraging over a decade of expertise in Data Science and Big Data. His professional journey spans across building analytics solutions and products across diverse domains, and proficient in cloud analytics and data warehouses. He holds a bachelor's degree in Industrial engineering from Anna University, a long distance program in Big Data analytics from IIM, Bangalore, and a master's in Data Science from Eastern University. As a seasoned trainer, he imparts his knowledge, specializing in Snowflake and GenAI, also a data science guest faculty and advisor for various educational institutes. His solution is ranked in the top 1 percentile in Kaggle Kernels globally.

See other products by Vivekanandan SS

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